design and development of protein-polymer ... - unibas.ch thesis pascal tanner 2013.pdf ·...
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i
Design and development of protein-polymer
assemblies to engineer artificial organelles
Inauguraldissertation
zur Erlangung der Würde eines Doktors der Philosophie
vorgelegt der
Philosophisch-Naturwissenschaftlichen Fakultät
der Universität Basel
von
Pascal Tanner
aus Werthenstein, Luzern
Basel, 2013
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Genehmigt von der Philosophisch-Naturwissenschaftlichen Fakultät
auf Antrag von
Prof. Dr. Cornelia Palivan (Universität Basel),
Prof. Dr. Wolfgang Meier (Universität Basel)
und
Prof. Dr. Marcus Textor (ETH Zürich)
Basel, den 17.09.2013
Prof. Dr. Jörg Schibler
(Dekan)
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Abstract
Molecular engineering by means of the development of artificial
organelles that can be implanted in cells to treat pathological conditions
or to support the design of artificial cells has been regarded as a major
goal in medical research. In order to achieve this goal, active compounds,
such as enzymes, proteins and enzyme-mimics were encapsulated or
entrapped in polymer compartments to create highly active hybrid
nanoreactors. However, probably due to the early stage of research, only
few of these nanoreactors were active in cells, and none was proven to
mimic a specific natural organelle. In the present thesis, the engineering
of polymeric vesicles for the development of artificial organelles
mimicking natural peroxisomes is accomplished. In addition, a detailed
study of the permeabilisation of polymeric vesicle membranes by
incorporation of ion-channels is elaborated. The detailed study of metal-
functionalised polymeric vesicle membranes for targeting approaches –
an important factor for site specific action of e. g. artificial organelles –
gives a further key aspect. These three parts of fundamental research
play a key role in further development of advanced nanoreactors to be
used as specific artificial organelles. In the first study, we designed
systems that contained two different highly active antioxidant enzymes,
which worked in tandem in polymer nanovesicles. The membrane of the
nanovesicles was specifically permeabilised by the incorporation of
natural channel proteins and the functional nanoreactor was optimised
with regard to properties and function of natural peroxisomes. These non-
toxic artificial peroxisomes combat oxidative stress in cells after cell-
uptake, which prolong cell life-time and which can be regarded as the first
instance of treatment of various pathologies (e.g. arthritis, Parkinson’s,
cancer, AIDS) effectively controlled by conditions of oxidative stress. The
second study proofs the successful incorporation of small ion-channels in
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the vesicle membrane. These ion-channels are specifically permeable for
monovalent cations, for example to design a pH-sensitive artificial
organelle, where the active compound can be switched on/off
respectively, depending on the conditions of the environment. The third
project focussed on the decoration of metal-functionalised polymersomes
with a small model peptide, a His6-tag, in order to characterise the change
of the metal coordination site upon binding of the model peptide. This
provided important information about the binding behaviour of ligands in
processes of molecular recognition, a key principle in nature.
Understanding of specific and efficient binding will allow to further target
the polymersomes to specific locations to either release their content,
such as drugs, or to act as an artificial organelle.
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Table of content
1. INTRODUCTION ..................................................................................................... 1 1.1. CONCEPT OF MOLECULAR ENGINEERING ..................................................................... 3 1.2. BUILDING BLOCKS FOR MOLECULAR ENGINEERING .................................................... 4
1.2.1 Bio-related properties of the amphiphilic di- and tri-block copolymers used in this thesis .......................................................................................... 6
1.3. AMPHIPHILIC BLOCK COPOLYMER SUPERSTRUCTURES ............................................ 7 1.3.1. Principle of self-assembly ..................................................................................... 9 1.3.2. Polymeric vesicles (polymersomes) .............................................................. 10 1.3.3. Polymersome preparation methods ............................................................. 11 1.3.4. Characterisation methods of polymersomes ............................................ 12
1.4. CONCEPT OF NANOREACTORS BASED ON AMPHIPHILIC BLOCK COPOLYMERS ... 14 1.4.1. Requirements for nanoreactors used in medical applications ......... 16 1.4.2. Active compounds supporting nanoreactor functionality ................. 18 1.4.3. Incorporation of membrane proteins and ion-channels in amphiphilic block copolymer polymersome membranes ................................. 19 1.4.4. Engineering artificial organelles as cell implants based on nanoreactors ......................................................................................................................... 21
1.5. CONCEPT OF NANOCARRIERS FOR DRUG/PROTEIN DELIVERY BASED ON
AMPHIPHILIC BLOCK COPOLYMERS ..................................................................................... 22 1.6. RELEVANCE OF REACTIVE OXYGEN SPECIES (ROS) IN OXIDATIVE STRESS ........ 23
1.6.1. Natural defence mechanism ............................................................................. 25 1.6.2. Antioxidant therapy ............................................................................................. 27
1.7. CONCEPT OF MOLECULAR RECOGNITION .................................................................. 28 1.7.1. Molecular recognition strategies in nature .............................................. 29 1.7.2. Targeting strategies ............................................................................................. 30 1.7.3. Metal-chelation: NTA and trisNTA ................................................................ 30 1.7.3. His-tags and His-tagged molecules ............................................................... 32
2. COMBAT SUPEROXIDE ANION RADICALS BY ANTIOXIDANT NANOREACTORS ....................................................................................................... 35
2.1. MOTIVATION AND CONCEPT ....................................................................................... 36 2.2. DESIGN OF AN ENZYMATIC CASCADE REACTION TO FIGHT OXIDATIVE STRESS .. 38 2.3. DESIGN AND CHARACTERISATION OF ANTIOXIDANT NANOREACTORS ................ 39
2.3.1. Optimised encapsulation of individual enzymes in polymersomes 41 2.3.2. Activity assay of individual enzyme species in solution and in polymersomes ....................................................................................................................... 48 2.3.3. Optimised co-encapsulation of SOD and LPO in polymersomes ...... 52 2.3.4. Multi-enzyme kinetics in a solution that simulates polymersome conditions ............................................................................................................................... 55
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2.3.5. Multi-enzyme kinetics in situ inside polymersomes .............................. 56 2.4. COMBATING SUPEROXIDE ANION RADICALS IN CELLS BY ARTIFICIAL
PEROXISOMES ......................................................................................................................... 58 2.4.1. Integration of artificial peroxisomes in cells............................................ 60
2.5. CONCLUSION .................................................................................................................. 69
3. DESIGN OF PH-TRIGGERED NANOREACTORS ........................................... 71 3.1. MOTIVATION AND CONCEPT........................................................................................ 72 3.2. EVIDENCE OF FUNCTIONAL ION-CHANNEL INCORPORATION IN LIPOSOMES ....... 72 3.3. EVIDENCE OF FUNCTIONAL ION-CHANNEL INCORPORATION IN POLYMERSOMES
.................................................................................................................................................. 74 3.3.1. Ion-channel formation (H+ kinetics) as a function of gramicidin concentration in polymersome membranes .......................................................... 78
3.4. PH-TRIGGERED NANOREACTORS ................................................................................ 79 3.5. CONCLUSION .................................................................................................................. 82
4. METAL-FUNCTIONALISED POLYMERSOMES FOR MOLECULAR RECOGNITION ............................................................................................................ 83
4.1. MOTIVATION AND CONCEPT........................................................................................ 83 4.2. FORMATION OF CU(II)-TRISNTA FUNCTIONALISED POLYMERSOMES ................ 86 4.3. HIS6-TAGS BINDING TO CUII-TRISNTA POLYMERSOMES ....................................... 88 4.4. STRUCTURE OF THE COORDINATION SPHERE OF CUII IN HIS6-TAG-CUII-TRISNTA
POLYMERSOMES IN COMPARISON TO MODEL SYSTEMS .................................................... 94 4.5. CONCLUSION ............................................................................................................... 106
5. OVERALL CONCLUSION .................................................................................. 109
6. EXPERIMENTAL SECTION .............................................................................. 111
7. APPENDIX ........................................................................................................... 129
8. REFERENCES ...................................................................................................... 135
9. ACKNOWLEDGEMENTS .................................................................................. 151
10. ABBREVIATIONS ............................................................................................ 153
11. CURRICULUM VITAE ..................................................................................... 157
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1. Introduction
The design of new, functional and smart materials or assemblies is
mainly driven to understand biological systems in more detail and to
mimic biological structures and functions. There is a high need to obtain a
profound knowledge of the working principle of biological systems in order
to repair many diseases on molecular basis. Furthermore, the
understanding of the complexity, specificity and accuracy of biologic
pathways forms the basis of technological progress. Hence, it is a key
challenge in life- and nanosciences to fuse biomolecules, such as
enzymes or proteins, with synthetic materials, for example block
copolymers, in order to create new, complex bio-synthetic nanodevices.
The combination of the specificity and efficiency of biological molecules
with the robustness and the possibility of tailoring synthetic materials
allows the design of efficient systems in terms of activity, sensitivity and
responsiveness.1,2 In addition, this strategy allows protecting sensitive
compounds, for example enzymes, proteins, or nucleic acids, while
providing optimal working conditions − the same principle as in the
compartmentalisation strategy in nature. Successful protection was put
into practice in recent years by shielding various biological compounds in
nanometre-sized supramolecular assemblies. The purpose of shielding
was already commercialized by using liposomes, which are bio-adapted,
lipid-based supramolecular assemblies. However, limitations in the use of
liposomes such as increased, intrinsic mechanical instability and low
blood circulation life-time could only be partially solved through their
combination with polymers such as polyethylene glycol (PEG), which has
shown to have “stealth” behaviour (by means of no association with non-
targeted serum and tissue proteins thus being able to evade the immune
system).3
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Consequentially, polymer supramolecular structures in the form of
particles, micelles, vesicles and films are of particular interest, because
they can adapt their properties to support combination with biological
molecules while preserving material properties such as stability and
mechanical robustness.4,5 Polymer supramolecular assemblies exhibit
morphologies and properties, which can be adapted by choosing from a
variety of highly diverse block copolymers. By triggering the block length
of each block unit of the block copolymer, the entire molecular
architecture is provided. In addition, properties such as charge, flexibility
or stimuli-responsiveness can be tuned for further system integration.6 In
conclusion, this outstanding adaptability makes these assemblies very
versatile for a wider range of applications.7,8
Elegant combinations of nanometre-sized, supramolecular assemblies
that protect active compounds and support their in situ activity are
polymer nanoreactors.9,10 Nanoreactors based on polymer vesicles
encapsulating active molecules and with a membrane rendered
permeable for small molecules provide fully active compounds in
biologically relevant conditions inside the carrier over long time. This
approach eliminates the drawbacks related to conventional drug carriers,
where active compounds may act only after their release from the carrier
or are released into a different biological compartment, other than
desired.11 When nanoreactors are used in vitro, sensitivity and overall
activity are essential properties to be coped with, while for in vivo
applications (therapeutics or theranostics) more complex requirements
are imposed in terms of nanoreactor-assemblies properties, in situ
functionality, and biodistribution.
Our aim here was to engineer artificial organelles focussing on three
aspects: i.) design and development of a functional cascade reaction
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inside polymersomes ii.) engineering triggerable nanoreactors and iii.)
studying a specific molecular recognition process in detail.
i.) In a bio-inspired approach, the nanoreactor design was used to
mimic a specific artificial organelle by the combination of two different
antioxidant enzymes, superoxide dismutase together with lactoperoxidase
or catalase. Implementation of the cascade reaction into the
polymersomes enabled the use of the SOD/LPO co-encapsulated as
artificial peroxisomes inside cells to repair the condition of oxidative
stress.
ii.) Another approach of nanoreactor design, focussing on pH-triggered
nanoreactors, was realised by incorporation of an ion-channel, gramicidin,
in the membrane of pH-sensitive acid phosphatase-encapsulated
polymersomes. Feasibility of pH-stimulation of the enzymes in vesicles
was proven.
iii.) We used molecular recognition interactions and metal-
functionalised block copolymers in order to form vesicles with specific
metal points at the outer vesicle surface. Binding studies of small ligands
and detailed investigation of the metal-centre coordination spheres before
and after binding gave information about optimal binding conditions.
1.1. Concept of molecular engineering
Controlling the structure of materials/compounds at molecular
dimensions opens the possibility to produce nanosystems or
nanofactories, which do not occur in nature having for instance new
functionalities or are mimics of biological systems. In general, two
important strategies in molecular engineering can be followed as bottom
up approaches in the design of nanofactories. One involves highly
developed technologies such as a scanning tunnelling microscopy, which
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enables the control of individual molecules and allows arranging them in a
functional way in order to create an active nanosystem. The other
strategy makes use of the self-assembly principle naturally evolved in
biological systems to build more complex systems. The self-assembly
principle has the advantage that molecules assemble into structures
based on molecular interactions such as hydrogen bonds, Van der Waals
or electrostatic interactions without the need of expensive techniques and
time-consuming procedures. Complex templates can be engineered by
using molecules, for example, lipids or amphiphilic block copolymers. In
order to design functional nanofactories, active molecules such as
enzymes, proteins or enzyme-mimics need to be combined with the self-
assembled structure. Preservation of the functionality of the active
molecules during this process is a key step to engineer functional
nanodevices such as nanoreactors. This requires the working principle
and optimised conditions of the active molecule to be studied in detail.
After proof of concept, application of the engineered nanofactories either
in the technological or biomedical domain has to fulfil further
requirements, addressing for example maximising efficiency in sensor
systems or increased efficacy and low immunotoxicity in therapeutic
applications.
1.2. Building blocks for molecular engineering
Different building blocks to engineer supramolecular assemblies as
template structures for medical applications can be used: Biopolymers,
synthetic polymers or combinations of bio- and synthetic polymers.
Biopolymers include lipids, polysaccharides, polypeptides and
polynucleotides. Their inherent biocompatibility and biodegradability in
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human bodies and cheap production qualify them for technological
applications such as carrier systems.12
The category of synthetic polymers can be divided into homopolymers,
polyelectrolytes and block copolymers.10,13-15 Homopolymers are built
from covalently attached identical repeating units in linear or branched
form. Polyelectrolytes have repeating polymer units with charged
functional groups.
Fig. 1 Amphiphilic block copolymer architectures: A) AB-diblock; B) ABA-
triblock; C) ABC-triblock; D) dendrimer; E) star-shape; F) linear grafted shape.
This thesis is mainly based on amphiphilic block copolymers. Block
copolymers belong to a special class of synthetic macromolecules
consisting of at least two different groups of repeating structural units
called homopolymers. The different homopolymer units are either
covalently linked or are linked by a junction block, which is an
intermediate and non-repeating spacer.16 Amphiphilic block copolymers
are composed of at least two subunits, where one homopolymer subunit
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has hydrophilic (water soluble) properties while the other has hydrophobic
(water insoluble) character. The homopolymer block is abbreviated for
clarity as A, B, C etc., and their order in the block copolymer is directly
used for its classification. According to this classification, block copolymer
architectures such as AB – diblock, ABA – triblock, ABC – triblock,
dendrimer shape, star-shape and grafted are shown in Fig. 1. These
architectures can have either linear, cyclic, multi-arm star, comb, hyper-
branched or dendritic shapes.17
1.2.1 Bio-related properties of the amphiphilic di- and tri-block copolymers used
in this thesis
In this work, three different kinds of amphiphilic block copolymer were
employed: A triblock copolymer consisting of an amphiphilic poly(2-
methyloxazoline)-b-poly-(dimethylsiloxane)-b-poly(2-methyloxazoline)
(PMOXA-PDMS-PMOXA), a diblock copolymer based on poly(2-
methyloxazoline)-b-poly-(dimethylsiloxane) (PMOXA-PDMS) and a
diblock copolymer made of poly(butadiene)-b-poly(ethylene oxide) (PB-b-
PEO). The biologically relevant properties of the individual
homopolymers are summarised here:
PMOXA: PMOXA is often used as the hydrophilic block in either AB
diblock or ABA triblock copolymers as building block in supramolecular
assemblies for biological applications.2,11 Recent studies on the
biodistribution and excretion of well-defined radiolabelled PMOXA in mice
demonstrated no accumulation in tissue and rapid clearance from the
bloodstream, thus apportion a good biocompatibility of biodegradability of
PMOXA.18 Cell-viability measurements of block copolymers containing
PMOXA indicated low toxicity, which makes it an ideal candidate to build
functional artificial organelles.
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PDMS: Silicones, and in this special case, PDMS are widely used in
medical applications, such as breast implants.19 As it is non-irritating and
non-sensitising, it shows good biocompatibility. In block copolymers, it is
widely used as the hydrophobic block. Also block copolymers containing
PDMS were widely used to build supramolecular assemblies such as
nanovesicles for diagnostic or therapeutic applications.
PEO: PEO is widely applied in drug delivery applications. It has a good
biocompatibility, hydrophilicity, versatility and stealth behaviour.18 Studies
have demonstrated a protein repellent character.20 This linear polymer
can be easily modified for example by covalent binding of a metal-
chelating agent for targeting purpose.21
PB: PB has vinyl groups attached to the backbone and is soluble only
in organic solvents such as acetone, but insoluble in water.22 PB is often
used as the hydrophobic block in amphiphilic block copolymers.21-23 The
monomer 1, 3-butadiene is highly toxic. It is expected to be involved in
cardiovascular disease, leukaemia and other cancer as described by the
national pollutant inventory. Therefore its use in bio-related applications is
not recommended. Because PB was used in this thesis as a part of the
diblock copolymer PB-b-PEO, which formed nanovesicles, in order to
study the geometry changes of the metal-functionalised part in the
process of molecular recognition, the potential toxicity of this block
copolymer was no matter of interest.
1.3. Amphiphilic block copolymer superstructures
Amphiphilic molecules, such as lipids, surfactants or amphiphilic block
copolymers, possess the ability to form self-assembled superstructures in
aqueous media. The hydrophilic part and the hydrophobic part thereby
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Fig. 2 Self-assembled structures based on block copolymers and surfactants:
spherical micelles, cylindrical micelles, vesicles, fcc- and bcc-packed spheres (FCC,
BCC), hexagonally packed cylinders (HEX), various minimal surfaces (gyroid, F
surface, P surface), simple lamellae (LAM), as well as modulated and perforated
lamellae (MLAM, PLAM). Reprinted with permission from Ref. 24 Copyright 2002
WILEY-VCH Verlag GmbH & Co. KGaA.
describe the overall amphilicity of the molecule. The two blocks were
covalently linked in order to avoid macrophase separation,24 which
occurs for example by water and oil emulsions. At defined conditions,
molecular ordered superstructures were formed via self-assembly
depending on the insoluble to soluble ratio, the molecular weight and the
concentration.25,26 In this case, different morphologies such as micelles,
vesicles, tubes, lamellar structures, etc. are obtained (Fig. 2). The type of
morphology can be also modulated by different solvents, where only one
block of the amphiphile is soluble.27
Amphiphilic block copolymer superstructures are well suited to mimic
biological structures in order to engineer new functional materials for
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therapeutic, diagnostic and theranostic applications due to serious
advantages compared to their natural counterparts (e.g. lipids).
1.3.1. Principle of self-assembly
The self-assembly process is a fundamental principle in nature to
organise molecules from a disordered system to highly organised
structures or patterns without the aid of external trigger factors. Well-
ordered biological assemblies can be formed spontaneously by the self-
assembly process. For example lipid bilayers, the matrix of cell
membranes, are formed by the self-assembly of lipids. Other self-
assembled structures are proteins, nucleic acids and viruses. The self-
assembly process is essential for these structures to fulfil their biological
function.
The self-assembly process is based on intermolecular and/or
intramolecular interactions, whereas the process is mainly driven by non-
covalent hydrophobic interactions. During the self-assembly process in
aqueous solution, the hydrophobic parts of amphiphiles preferentially
align with each other, which is favourable compared to the interaction with
water leading to an increased entropy (hydrophobic effect).28 In order to
predict the self-assembly behaviour of amphiphilic block copolymers
containing hydrocarbons, the packing parameter P describes the shape of
the molecules (equation 1).29
⁄ (1)
V is described as the hydrophobic chain volume, l as the preferred
length and a0 the area, which is occupied by the hydrophilic head group of
the amphiphile. In the case of lipid-like molecules, a P > 0.5 was
attributed to the favoured formation of spherical and cylindrical micelles.
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The situation 0.5 < P < 1 leads to less curved bilayers. Nevertheless it is
more appropriate for amphiphilic block copolymers to use the volume or
weight fraction of the hydrophilic block to describe their shape.30
1.3.2. Polymeric vesicles (polymersomes)
The most important representatives among the self-assembled
superstructures in this thesis are polymer vesicles, known as
polymersomes, which were generated by self-assembling amphiphilic
copolymers in dilute aqueous solutions, in a similar way to lipids.26,31
These vesicles are spherical objects with closed-block-copolymer
membranes in diameters ranging from 50 nm to approximately 10 μm,
depending on the chemical composition, the size as well as the
hydrophobic/hydrophilic ratio32,33 of the polymer blocks, the preparation
method and the preparation conditions. These polymer vesicles are
significantly more stable to lysis by classical surfactants than liposomes,
while preserving low immunogenicity.26,34 In addition, they are highly
impermeable compared to liposomes,34 can be stimuli responsive and
can be functionalised for targeting approaches.35,36 Various techniques
were used to generate polymersomes such as direct dissolution of
copolymers (direct dissolution method), addition of the copolymer
previously dissolved in an organic solvent to aqueous media (cosolvent
method), or hydration of a copolymer film (film hydration method).31
Depending on the intended application, polymersomes may be adapted to
specific sizes for particular routes of administration. The polymer
membrane is organised in the way that the hydrophilic part is exposed to
the inner and outer aqueous environments34 and serves to partition
aqueous volumes with different compositions and concentrations, due to
a selective permeability towards hydrophobic and hydrophilic molecules.24
The molecular weight of the used block copolymers directly reflects
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membrane thickness, which can be up to 30 nm.37 The high mechanical
polymersome membrane stability leads to a long-lasting retention of
payloads, ideally suited for technological applications. Beside the
possibility to encapsulate hydrophilic guest molecules, polymersomes can
simultaneously carry hydrophobic molecules in their membrane.38
Vesicular morphologies are illustrated based on AB diblock and ABA
triblock copolymer (Fig. 3).
Fig. 3 Polymersome formation based on AB-diblock copolymer in comparison to
ABA-triblock copolymer.
1.3.3. Polymersome preparation methods
The procedure to prepare polymersomes requires that the specificity of
the building blocks, the conditions for the active compounds in case of
nanoreactor (see chapter 1.4) preparation, the architecture etc. are
adequate for the intended application. Especially in medical applications,
when polymersomes are used in the human body, the safety issue
increases considerably.
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Only the relevant techniques applied in the framework of our project,
the film hydration technique and the direct dissolution method will be
further discussed.
The film rehydration method consists of two stages: Firstly, the
amphiphiles are dissolved in an organic solvent and subsequently the
solvent is evaporated to form an uniform, thin film on the surface of a
glass flask.39 Afterwards, the self-assembly process towards
macromolecular superstructures such as vesicles is initiated by the
addition of the aqueous solution, accompanied by additional forces such
as stirring, vortexing or sonication. The aqueous solution may contain
active compounds, which will result in their encapsulation in the aqueous
cavity or their incorporation in the membrane of the supramolecular
structures (e.g. vesicle membrane).
In the direct dissolution method, polymers are directly dissolved in the
aqueous solution, which may contain active compounds for nanoreactor
preparation, by extended agitation until the polymer is completely
hydrated.24
1.3.4. Characterisation methods of polymersomes
Polymersome characterisation starts with the detailed investigation of
the building blocks and continues with the characterisation of the
architectures with regard to their size, stability, flexibility, charge, etc.
When active compounds are involved, overall nanoreactor activity needs
to be determined.
Polymersome size and size distribution24,40 (polydispersity index), the
aggregation concentration,41 morphology42 and change of size or shape
with variation of pH, temperature or detergent addition43,44 can be
determined by light scattering (static and dynamic light scattering)
experiments. Parameters such as weight averaged molecular mass,
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radius of gyration, hydrodynamic radius as well as information about
particle – particle and particle – solvent interactions can be deduced.42
For direct visualisation of self-assembled structures most commonly
microscopy techniques, such as optical microscopy, laser-scanning
microscopy, or electron microscopy are used. These techniques allow to
extensively characterise structures in a broad range from a few
nanometres (super resolution microscopy such as STED (Stimulated
Emission Depletion) or STORM (Stochastic Optical Reconstruction
Microscopy)) to a few micrometres.45
The simplest method to visualise the assemblies under ‘physiological’
conditions is offered by optical microscopy, but the limited resolution –
max resolution corresponds to the half of the used wavelength (around
200 nm) – of these devices is a disadvantage compared to electron
microscopy. Therefore, only large assemblies such as giant liposomes or
giant polymersomes can be observed by optical microscopy.
Electron microscopy techniques, including transmission electron
microscopy (TEM), scanning electron microscopy (SEM), cryo-TEM and
cryo-SEM, provide higher resolution and allow to visualise self-assembled
superstructures and nanoreactors.46-48 Thickness and structure of a
vesicle membrane and their phase behaviour can be observed by cryo-
TEM, cryo-SEM and the freeze-fracture technique.49
Fluorescence microscopy is established for observation of
fluorescently labelled nanocompartments, which contain fluorescent dyes
or fluorescent proteins. This method is used to study polymer assemblies
with respect to dye encapsulation behaviour or dye binding properties,50-53
and to investigate cellular uptake of polymersome nanocarriers or
nanoreactors. Furthermore, activity of nanoreactors after cellular uptake
can be proven by visualisation of fluorescent products in real-time.
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Confocal laser-scanning microscopy (CLSM) is a special kind of
fluorescence microscopy, where the specimen is point-wise irradiated and
its fluorescence emission is point-wise measured to create an image. The
main difference is the use of a confocal aperture, the pinhole, which is
adjustable and determines how fluorescence light coming from non-
focused planes is detected. This allows to image small sections and to
reconstruct 3D images containing different focus planes.
Fluorescence correlation spectroscopy (FCS) is used to investigate the
dynamic properties of fluorescent molecules such as dyes,
macromolecules and nanoparticles.54 The experimental technique is
based on monitoring fluorescence intensity fluctuations in a small
observation volume – a confocal volume. A correlation analysis of the
fluctuations yields information on the diffusion coefficients and times,
population distributions, concentrations, etc. It is also possible to
determine the size and quantify the number of encapsulated fluorescent
dyes or proteins in nanocontainers.51,52,54 The technique is widely used for
studies concerning encapsulation/entrapment/binding of fluorescent
molecules in/on polymer assemblies in order to determine the sensitivity
and stability of nanoreactors.46,51,55
1.4. Concept of nanoreactors based on amphiphilic block copolymers
In this thesis, a nanoreactor is defined as a polymersome
encapsulated with an active compound (for example enzymes, proteins,
enzyme-mimics) and rendered permeable for substrates/products by the
insertion of membrane proteins or ion channels in the polymersome
membrane (Fig. 4).
The concept of nanoreactor originates from the compartmentalisation
strategy in nature, where compartments are used to separate biological
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processes. Prominent examples in cells are organelles such as the
endoplasmic reticulum, the Golgi apparatus, mitochondria, peroxisomes,
the nucleus, etc., where biological molecules are produced, transported,
detoxified, stored or disposed of. The advantage of the
compartmentalisation strategy is that different biological processes can
simultaneously run without interfering each other due to portioning of
biological tasks. It further allows the protection of sensitive biomolecules
or provision of adapted conditions, while communication (exchange of
signals) enables complex cascade reactions. Similar to cell
compartments, nanoreactors are regarded as nanometre-sized reaction
compartments/spaces used for chemical and biological reactions.
Fig. 4 a) Polymersomes containing active compounds inside their aqueous cavity. b)
Polymer membrane, which is intrinsically permeable. c) A polymer membrane with
an inserted channel protein. Adapted with permission from Ref. 11 Copyright 2011
American Chemical Society.
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The concept of nanoreactors implies that the active compounds are
kept permanently in its aqueous cavity or in its membrane. This
compartmentalisation strategy has also the dual ability: the protection of
the content from proteolytic attack and providing a reaction space for in
situ activity.11 Nanoreactors were used to monitor11 or detoxify51,56
substances, to produce drugs and were applied for enzyme replacement
therapy.57
In medical applications, an increased efficacy of nanoreactors is
desirable compared to unspecific drug administration, which could be
realised by their site-specific action. Site-specific action can be triggered
by a specific targeting, which can be put into practice by functionalisation
of the nanoreactor`s surface with, for example, peptides, proteins,
antibodies or chelating agents to generate molecular recognition
points.52,53,55 Based on the highly specific molecular recognition, surface-
functionalised nanoreactors were able to act at specific locations.47,58,59
Also stimuli-responsive nanoreactors were generated, which can be
predetermined on or off “on demand” by different stimuli such as physical
(light, temperature, mechanical, magnetic, etc.), chemical (solvent, pH,
ionic strength) and biological (receptor, enzyme) triggers.60
1.4.1. Requirements for nanoreactors used in medical applications
In case of nanoreactor preparation, the proper combination of active
compounds with the polymersome architecture is needed (in the aqueous
cavity of the polymersome or in the polymersome membrane).
Nanoreactor functionality depends on the activity of the active compound,
which is specific and depends on the preparation method, the pH, ionic
strength, temperature and traces of solvents.10 Therefore, nanoreactor
preparation requires the preservation of the activity of the active
compound starting with the choice of the building blocks, which are
Engineering artificial organelles
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treated with organic solvents. These solvents, even in traces, could have
considerable effects on the activity of the biological compound. When
using a preparation method, the use of organic solvents should be
minimised or entirely organic solvent free preparation methods should be
used.24
Medical applications differ if nanoreactors are meant to be used inside
a cell as an in vivo application for diagnostics or therapeutics, or as ex
vivo, when nanoreactors are used as medical sensor for diagnostics.
When a nanoreactor is used outside a body, nanoreactor performance
with regard to ideal working conditions (pH, ionic strength, temperature,
etc. for the encapsulated, active compound is aspired solely. On the other
hand, nanoreactors applied in vivo have to fulfil complex requirements,
which belong to the safety standards provided by the U.S Food and Drug
Administration (FDA) and the European Medicines Agency (EMA). This
guarantees that the in situ biological activity of encapsulated active
molecules is ensured,2,61 the integrity and activity of the nanoreactor is
preserved in biological conditions and that the nanoreactor and its
components (nanoreactor building blocks and the active molecules) are
biocompatible and biodegradable25,56,62 and do not accumulate in the
body.
The size and morphology of a nanoreactor is crucial for its cellular
interactions. In this respect, nanoreactors of around 200 nm in diameter
have shown to be uptaken by cells.47,56 Therefore, nanoreactor
preparation methods need to be aimed to this size range. Preparation
methods also play an important role for preserving the biological activity
of the active species. Hence, solvents, which potentially lower enzymatic
activity, must be avoided.2 Also the chemical constitution and properties
of the nanoreactor system such as charge flexibility and density of the
building blocks can influence the activity of the active compound. Stability
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and integrity of the nanoreactors avoid the release of potential toxic
substances in the body. Nevertheless, nanoreactor membrane
permeability is desired for substrates and products. The efficacy of the
nanoreactor is enhanced by nanoreactors having stealth-like characters.
1.4.2. Active compounds supporting nanoreactor functionality
Which active compounds were used for nanoreactor engineering?
Most commonly, proteins, enzymes, enzyme-mimics, or photoactive dyes
have been entrapped in the nanoreactor compartments.10,25,60
Proteins are key molecules in cell activities. They catalyse metabolic
reactions, transcribe and replicate DNA, are stimuli responsive, transport
oxygen, etc. For example, haemoglobin was encapsulated in
polymersomes with a dual functionality of oxygen transport and
detoxification of peroxinitrite.63
A special class of proteins are enzymes, which specifically and
efficiently catalyse biological reactions to sustain life. They contain either
ion metal groups or organic functional groups, which can accelerate
metabolic reactions up to the diffusion-limit. Prominent catalytic
mechanisms were transition-state binding, entropic control of reactions,
acid-base catalysis, etc.
Enzyme-mimics were developed as artificial enzymes in order to
understand the functionality of biological counterparts in more detail, to
generate artificial enzymes with improved functionalities62 or to adopt
functions of enzymes.64
Also, photoactive dyes were encapsulated in nanoreactors to generate
reactive oxygen species for applications in cancer therapy.60 In this
context, encapsulation is important in order to reduce toxicity of the
photoactive dyes, while their efficacy can be increased due to application
of a local high dosage.
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1.4.3. Incorporation of membrane proteins and ion-channels in amphiphilic
block copolymer polymersome membranes
The low permeability of the membrane of polymersomes towards a
great variety of molecules such as substrates requires that the active
compounds in the aqueous cavity of the polymersomes must be made
accessible. A strategy therefore is to permeabilise the membrane either
by using substrate-permeable membranes65 or by inserting membrane
proteins that serve as “gates”.66-68 Even though the dimensions of
synthetic membranes (>10 nm) exceeds the dimensions of membrane
proteins, functional incorporation in the membrane is feasible.
Membrane proteins, such as the aquaporin Z (AqpZ), LamB, TsX or
complex 1, are specific transporters,66,67,69,70 while OmpF or FhuA form
unspecific channels.68,71 The membrane proteins can tune the
permeability of the membrane in a selective manner when specific
transporters are inserted. In this thesis, the membrane protein OmpF and
the ion-channel gramicidin were used to render the polymersome
membrane permeable for substrates or trigger factors.
Fig. 5 Top view of OmpF. Figure generated from the protein database:
http://www.rcsb.org.
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OmpF
The outer membrane protein F (OmpF) is isolated from E. coli cultures
in quantities of tens of mg/mL cultures72 and is stable in conditions of up
to 70 °C in 2% sodium dodecyl sulphate.73 Dissolving OmpF in ethanol,
for example for membrane incorporation, has no influence on its activity
or stability. OmpF (Fig. 5) allows the passage of molecules up to a
molecular weight of 600 Daltons (Da).74 It has a beta-barrel structure, as
most of the channel proteins,74 which secondary structure has increased
stability compared to α-helical membrane proteins.
Functional incorporation of OmpF in PMOXA-PDMS-PMOXA
copolymer membranes was realised by Meier et al.75 As shown in Fig. 5,
OmpF is composed of three identical subunits, whereby the monomers
are mainly build by a 16-stranded antiparallel β-sheet barrel.76
Gramicidin
In contrast to OmpF, which unspecifically allows the passage of
molecules, gramicidin is an ion-channel, specific for monovalent cations.
Gramicidin is a polypeptide antibiotic, which is produced by Bacillus
brevis. It consists of 15 hydrophobic amino acids that are neither charged
nor polar with the common following sequence: formyl-L-val-gly-L-ala-o-
leu-L-ala-o-val-L-val-o-val-L-trp-o-leu-L-xxx-D-leu-L-trp-D-Ieu-L-trp-
ethanolamine, where xxx is tryptophan in gramicidin A, phenylalanine in
gramicidin B, and tyrosine in gramicidin C.77
Consequently, gramicidin is almost insoluble in water, but is soluble in
many apolar solvents, phospholipids and alcohols.
Due to its small size, gramicidin can adopt a variety of different
conformations. The two main conformations were determined as a helical
dimer or a double helical structure (Fig. 6).77 The helical dimer consists of
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two monomeric gramicidin helices, which are associated with each other
N-terminus to N-terminus.
Fig. 6 Two main conformations of gramicidin pores are (A) a helical dimer (this
form leads to channel formation) or (B) a double helical structure (pore formation).
Reprinted with permission from Ref. 77 Copyright 1990 by Annual Reviews Inc.
The association between the two monomer- helices is stabilised by six
H-bonds. The dimer formation (this conformation is around 25 Å in length)
is crucial to cross a membrane (e.g. a lipid- bilayer) because one
gramicidin molecule alone would be too short to span the membrane.77
The channel, which is formed by the gramicidin helical dimer, is pervious
for monovalent cations such as H+ and K+ and has a diameter of 4 Å. In
nature, gramicidin serves as a defending mechanism against other
microorganisms. It has the ability to incorporate into lipid membranes,
rendering them permeable for ions thereby destroying the electrochemical
gradient, which is necessary for ATP production.
1.4.4. Engineering artificial organelles as cell implants based on nanoreactors
Due to the inherent advantageous properties of nanoreactors, their
development is highly directed towards applications inside the body. This
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could be either in the blood stream or in a bio-inspired approach by
mimicking cell organelles.2,47,61,62,78 Such an approach of developing "cell
implants" has large potential in the repair of cell dysfunctions directly at
the source, responsible of many disease such as Parkinson`s disease,
amyotrophic lateral sclerosis (ALS), Alzheimer, cancer, etc. This new
strategy will have an enormous impact on personalised medicine and in
the design of artificial cells to build more complex synthetic systems. To
date, only few examples of nanoreactors used as artificial organelles are
known, which can be explained by the complex requirements for their
design and preparation. Nevertheless, until now, the few claimed artificial
organelles even do not perform a biologically relevant task. Nanoreactors
must have appropriate sizes or are tagged with cell-targeting moieties for
enhanced cell-uptake. In addition, the activity of entrapped/encapsulated
enzymes must be maintained in situ and the nanoreactor must be stable
in order not to break under different environmental conditions, such as
low pH as present in lysosomes.
1.5. Concept of nanocarriers for drug/protein delivery based on amphiphilic
block copolymers
The concept of nanocarriers based on polymersomes emerged from
the desire to deliver active components such as drugs at high dosage to
specific locations. This was realised by the encapsulation (in the aqueous
cavity) and/or entrapment (in the membrane) of payloads (drugs,79,80
DNA,81 proteins,82,83 or RNA84) in the compartments and its directed
release.
Encapsulation efficiency plays a crucial role in the efficacy of the
payloads, especially when high dosages of drugs were needed. Different
attempts to increase the encapsulation efficiency, for example by
complexation of the encapsulated compounds85 or by optimisation of the
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copolymer block lengths46 were performed. In addition, it is also important
that the nanocarriers can "detect" the target location for payload release.
This is achieved by a targeting approach, which in combination with
triggers, such as pH, temperature or light can efficiently control the
release of the active components. Nevertheless it is still challenging to
precisely control the release over time and it is unknown that payloads
are released in the right place of action.
1.6. Relevance of reactive oxygen species (ROS) in oxidative stress
In certain pathologies, the regulation of reactive oxygen species
(ROS), which include the superoxide radical anion (O2-•), peroxynitrite
(ONOO–), the hydroxyl radical (OH-•) and hydrogen peroxide (H2O2) is
disordered. ROS are highly reactive molecules due to their unpaired
electrons. They are generated during the oxygen metabolism as a by-
product and play an important role in cell signalling and homeostasis.86,87
Oxidative stress occurs when the metabolic status of an aerobic organism
is imbalanced with ROS by overwhelming the cellular antioxidant defence
mechanisms to the disadvantage of the organism`s antioxidant defence
mechanism. Oxidative stress has been shown to contribute to aging88 and
to play a significant role in many disease including arthritis, Parkinson`s
disease, amyotrophic lateral sclerosis (ALS), cancer and AIDS.89-92 There
are different sources, where ROS are produced as shown in Fig. 7.
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Fig. 7 Overview of the source of reactive oxygen species and its impact on
biomolecules and biological processes.
Exogenous agents such as smog, ozone, pesticides, ionizing
radiation, xenobiotics etc. and a variety of endogenous processes, such
as the mitochondrial respiration, cytochrome P-450 detoxification
reactions, xanthine oxidase oxidation, phagocytic oxidative bursts, and
peroxisomal leakage can generate significant amount of ROS. This leads
to damage, inactivation and modulation of biological molecules, such as
proteins, carbohydrates, lipids, and nucleic acids and of cellular events
due to the activity of ROS (Fig. 7).
Dramatic effect on suitable adaption of metabolic processes had to
occur due to the availability of oxygen in the course of evolution. Amongst
others, the development of antioxidant defence mechanisms to regulated
ROS was essential for survival.
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1.6.1. Natural defence mechanism
Superoxide radicals and related hydrogen peroxide are continuously
produced during the mitochondrial respiratory as a result of univalent
oxygen reduction by Complex I.93 But also in peroxisomes, where the
fatty acid α-oxidation, the β-oxidation of very long chain fatty acids, the
catabolism of purines, and the biosynthesis of glycerolipids and bile acids
occurs, reactive oxygen species can be formed.94 The natural defence
mechanisms are able to reduce reactive oxygen species to tolerable, non-
toxic amounts due to their toxic effect at concentration above the
threshold produced during the metabolism or necessary for signal
transduction. Antioxidant substances are part of the defence mechanism,
which are able to minimise or prevent substrate oxidation. These can be
for example enzymes such as superoxide dismutase (SOD), catalase
(CAT), both found in peroxisomes, peroxidases (e.g. lactoperoxidase or
horseradish peroxidase), glutathione peroxidase and transferases,
quinone reductases or small molecular weight substances such as
glutathione, ascorbic acid, vitamin C and E, uric acid, carotenoids, etc.
able to act as antioxidants.
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Fig. 8 Schematic overview of ROS homeostasis occurring in peroxisomes. Specific
transporters (e.g. ABCD1) transport various peroxisomal metabolites such as
VLCFA across the membrane and most of the peroxisomal matrix proteins are
imported in a PTS1/Pex5p-dependent manner. Peroxisomal oxidases (light purple)
are responsible to break down the substrates so that the hydrogen extracted from
the substrate is directly transferred to O2. Peroxisomal antioxidant enzymes (light
blue) convert the generated H2O2 to H2O and O2. A by-product of the xanthine
oxidase (XO) activity is O2•–
, which is immediately reduced by manganese
superoxide dismutase (MnSOD) and copper-zinc-superoxide dismutase
(Cu/ZnSOD). Others, such as Mpv17 and M-LP (dark blue) are involved in the
regulation of peroxisomal ROS metabolism, even though it is not clear if they are
localized in the peroxisome. Reprinted with permission from Ref. 94. Copyright
2009 WILEY-VCH Verlag GmbH & Co. KGaA.
The importance of ROS detoxification is illustrated in the schematic
overview of ROS homeostasis occurring in peroxisomes, as shown in Fig.
8.94 It proceeds as a cascade reaction, where SOD detoxifies the O2•–
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radicals to hydrogen peroxide, shown in equation 2.
(2)
The toxic character of H2O2 implies its further decomposition to
harmless products, water and O2, which is made either by CAT,
glutathione peroxidase, peroxiredoxin or PMP20, which also belongs to
the peroxiredoxin family.95 CAT detoxifies H2O2 in a catalactic reaction
(equation 3).
(3)
The mechanism, where glutathione peroxidase is involved, removes
H2O2 by the oxidation of glutathione (GSH) to its oxidised form,
glutathione disulphide (GSSG) (equation 4).
(4)
The peroxiredoxin (PRX) system uses thioredoxin (TRX) to detoxify
H2O2. The following reaction mechanism is proposed: (equation 5)
( ) ( ) (5)
Due to the inactivity of PRX (oxidised), it needs to be restored to its
reduced form by TRX, shown in equation 6.
( ) ( ) ( ) ( ) (6)
TRX is a polypeptide especially occurring in the endoplasmic reticulum
and in mitochondria. It contains a dithiol-disulfide active site. Its reduced
state is obtained by flavoenzyme thioredoxin reductase.
1.6.2. Antioxidant therapy
The aim of the antioxidant therapy is to counteract the functional
failure or the overcharge of natural antioxidant mechanisms by providing
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antioxidants. These are able to reduce the harmful effects of ROS and
thus prevent or cure oxidative stress and related diseases. Early
antioxidant therapies made use of antioxidants known from the natural
defence mechanism, such as SOD or CAT.96 But also vitamins, such as
vitamin A, vitamin C, or vitamin E were used to reduce the amount of
ROS.97 Nevertheless, the short half-life in blood plasma and difficulty for
efficient cellular uptake of antioxidant substances lower the efficacy of an
antioxidant therapy. For example it is known that SOD and CAT were
inadequately delivered to targeted cells.98,99 A strategy to increase uptake
behaviour was for example by conjugation of antioxidant enzymes with
antibodies to improve their biocompatibility.99,100 The risk is that
conjugation of enzymes with other molecules can dramatically lower the
activity of the enzymes.101
Nevertheless, both the use of antioxidant enzymes, as well as the use
of vitamins in order to efficiently treat conditions of oxidative in vivo did
not yield convincing benefits yet.
1.7. Concept of molecular recognition
Molecular recognition allows specific biological interactions by non-
covalent bonds such as hydrogen bonds, hydrophobic interactions, metal
coordination etc. and supports instant response in different processes.
Molecular recognition is distinguished between static molecular
recognition and dynamic recognition. Static molecular recognition can be
described as a key-lock system (Fig. 9A), where the key exactly fits into
the lock. Dynamic molecular recognition implies on the contrary that a
binding of a first guest molecule to the host allows a second molecule via
a conformation change to fit (induced fit) (Fig. 9B). Hence, in a positive
allosteric system, the binding of the first guest molecules increases the
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binding affinity towards the second guest, while in a negative allosteric
system, the first guest molecule decreases the binding affinity towards the
second guest.
Fig. 9 Different models of substrate binding to enzymes: A) In the lock-key model,
the correctly sized and shaped substrate binds to the active site of an enzyme in
order to undergo an enzymatic reaction. B) In the induced fit model, the substrate
determines the correct shape of the active site of the enzyme, in order to process the
substrate to the product.
Technical realisation of the molecular recognition concept resulted in
the principle of key-lock systems or the use of affinity tags and is widely
applied in the purification102,103 and immobilisation20,23,104,105 of
biomolecules, protein labelling,106,107 targeting approaches,108 etc.
1.7.1. Molecular recognition strategies in nature
Molecular recognition in biological systems helps molecules to self-
assemble, organise, recognise or communicate and to achieve biological
function. Natural recognition models are for example the
antigen−antibody,109,110 receptor−ligand systems (the nicotinic
acetylcholine receptor or the folate receptor),111 DNA−protein
assemblies,112 or RNA –ribosomes.
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1.7.2. Targeting strategies
In order to specifically target nanocarriers or nanoreactors, the natural
principle of molecular recognition, which allows identification of patterns
to be recognised by each other, can be applied to synthetic systems. It is
achieved by functionalisation of the polymersome surface to build specific
recognition points, which is presented in the following section.
Metal-functionalised polymer membranes
Functionalisation of amphiphilic diblock copolymers with metal-based
recognition sites that can self-assemble to polymersomes allow
production of metal-functionalised polymer membranes. In these
supramolecular assemblies, the free coordination points of the metal
centre interacts with biomolecules by replacing the solvent molecules and
rearranging its geometry.55 Prominent ligands that are able to be
recognised by peptides and proteins when complexed with metals such
as copper or nickel are iminodiacetato (IDA), bis(2-pyridylmethyl)amine
(BPA), diethylenetriamine (DIEN), nitrilotriacetic acid (NTA) or tris
nitrilotriacetic acid (trisNTA), tris(2-pyridylmethyl)amine (TPA), and tri(2-
aminoethyl)amine (TREN).55,113 This approach finds application in the
selective binding of biological molecules for functional and oriented
immobilisation,114 and can be successfully used for 2D and 3D protein
immobilisation. Polymersomes, functionalised with specific molecular
moieties on the outer surface, such as biotin, antibodies, or metal
complexes,21,23 allow for cellular uptake, protein binding or can be used to
be immobilised on solid supports.52
1.7.3. Metal-chelation: NTA and trisNTA
Metal-chelation describes the ability of molecules or ions to bind to
metal sites and implies that the binding of a polydentate ligand to the
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metal centre consists of at least two coordination bonds. The metal
complexes formed with these ligands have a coordination sphere that
consists of strongly binding atoms of the ligand and weak binding solvent
molecules. The biomolecule interacts with the metal ion as it replaces the
solvent molecules and rearranges the geometry. This binding mechanism
confers the advantage of stable immobilisation of the biomolecule,
similarly to nature.115 In this respect, NTA- and IDA-metal complexes
have been used to design synthetic receptors that bind peptides or
proteins under physiological conditions.113,116 The NTA ligand is widely
applied in immobilised-metal affinity chromatography.117 It coordinates for
example the Ni2+ with four valences as shown Fig. 10.
Fig. 10 Model of the interaction between residues in the His-tag and the metal ion in
tetra-pentadentate NTA ligand. Reprinted with permission form Ref. 117.
Copyright 2009 Elsevier Inc.
In this molecular configuration, two additional valences are available to
be coordinated to the imidazole rings of histidine residues. In a further
development, increased binding capability was achieved by using trisNTA
moieties for protein immobilisation studies. The trisNTA molecules (Fig.
11b, here complexed with CuII) feature three NTA (Fig. 11a) moieties, all
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complexed with a metal ion, which are simultaneously involved in the
ligand-binding process.
Fig. 11 Schematic formula of a) CuII
−NTA complex and b) CuII
− trisNTA. X
represents solvent molecules or external binding atoms of other molecules.
Reprinted with permission from Ref. 55. Copyright 2012 American Chemical
Society.
1.7.3. His-tags and His-tagged molecules
His-tagged molecules can be used not only for immobilisation or
purification purpose of proteins but also in order to study molecular
recognition interactions. These molecules most commonly consist of a tag
moiety with at least six consecutive histidines covalently bound. Other
reported His-tag sequences were summarised in a review of immobilised-
metal affinity chromatography.117 The tag moiety has been shown to
specifically bind to metal binding sites by a shift of the
association/dissociation equilibrium constant to the site of association as
a result of the known affinity of histidines to transition metals, such as
Zn2+, Cu2+, Ni2+, or Co2+.115 There, typical dissociation rates of different
systems were determined to range between 10-6 and 10-9 M. The
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system`s properties, such as the used medium, buffer solution, pH, ligand
density or concentration or accessibility can have an influence on the
binding behaviour. As an example, the oligohistidine sequence consisting
of six histidines efficiently interacts with NiII−NTA complexes with a
binding affinity in the subnanomolar range.107,118,119 When the number of
histidines on each tag was increased, for example, 10 histidines instead
of 6 histidines) a decreased metal binding affinity was observed.115 His6-
tag affinity to different transition-metal ions was predicted by molecular
dynamic simulations, including Cu2+, Fe3+, Ni2+, and K+ ions,. The results
indicated that the His6-tag exhibits the strongest binding affinity for Ni2+
and Cu2+ ions.120
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2. Combat superoxide anion radicals by antioxidant nanoreactors
A key challenge in life and nano-sciences is to fuse biological entities,
such as enzymes, with synthetic materials, for example block copolymers
in order to create new, complex synthetic biological devices. Combination
of specificity and efficiency of biological molecules with robustness and
possibility of tailoring of polymeric materials allows the design of efficient
mimics of living entities, or of electronic-inspired systems, on the nano-
scale domain. These out-perform conventional chemical or biological
approaches to generate revolutionary, highly-specific communicating or
processing systems, such as biosensors, signal amplifiers, electron-
transfer devices, or nanoreactors.1,25,121 Enzymatic activity can be
improved and enzymatic pathways customised by combining synthetic
with biological materials, as has been shown by trypsin encapsulation in
PS-b-PAA block copolymers122 or by reconstitution of ubiquinone
oxidoreductase in copolymer membranes.69 However, a real challenge is
related to the preservation of the enzyme activity as well as its integrity
when combined with polymeric systems. This renders the situation more
complex than in bulk conditions, and requires mild procedures of
generating the hybrid systems, as well as to establish the polymer/protein
interactions, and their effect on enzyme structure and activity.
Recently such bio-synthetic materials were successfully applied for
local bio-conversion on surfaces,53 and inside living cells.61 Here we plan
to extend these concepts to the detoxification of reactive oxygen species
(ROS), including the superoxide radical anion (O2•-), peroxynitrite,
hydroxyl radical, and hydrogen peroxide, those natural production is
dramatically increased during oxidative stress.123 Oxidative stress has
been reported to play an important role both related to the toxicology of
inorganic nanoparticles,124 and in the pathogenesis of many diseases,
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such as arthritis, Parkinson’s disease, amyotrophic lateral sclerosis,
cancer, or AIDS.89,90,125
2.1. Motivation and concept
Many attempts to detoxify ROS by direct antioxidant enzyme
administration were undertaken, but no conclusive data was obtained.
SOD, for example, was quickly eliminated from the blood stream.98 In
addition, attempts to modify SOD in order to improve delivery were tried.
To this end, SOD was covalently modified with poly(ethylene glycol)
(PEG)126 or encapsulated in liposomes127,128 and in polymeric
microspheres.129 But none of these attempts could improve SOD delivery
significantly.
A promising attempt was the design of antioxidant nanoreactors
encapsulating SOD inside oxygen permeable polymeric vesicles. The
enzyme efficiently catalysed the reaction of superoxide radicals to
generate hydrogen peroxide.51 However, hydrogen peroxide as a final
product is well known to still contribute to oxidative damage.130 Therefore,
in order to detoxify superoxide radicals and related harmful hydrogen
peroxide, similar to cellular antioxidant mechanisms, an intricate system
must be engineered.
Here, we use this concept in order to engineer advanced nanoreactors
based on the encapsulation of two different antioxidant enzymes,
superoxide dismutase (SOD) and lactoperoxidase (LPO) or catalase
(CAT), in polymersomes for detection and detoxification of reactive
oxygen species (ROS). The encapsulated antioxidant enzymes act
simultaneously in situ while protected from proteolytic attack.15,41
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Fig. 12 a) Specialised enzymatic cascade reaction inside polymeric nanovesicles for
detection and detoxification of superoxide radicals. Two different types of enzymes
act inside the polymersome in a cascade reaction with substrates (D) and products
(F) to detoxify reactive oxygen species (A). Substrates, products, and reactive
oxygen species penetrate the polymeric membrane due to the insertion of protein
channels (B); b) Schematic illustration of the reaction mechanism of the SOD/LPO
cascade reaction inside a polymersome; c) Chemical reactions allowing the detection
and detoxification of superoxide radicals: 1) generation of O2-•; 2) reactions
involving SOD; 3) reactions involving LPO. Adapted with permission from Ref. 56.
Copyright 2011 Wiley-VCH Verlag GmbH & Co. KGaA.
The selected enzymes catalyse the same reaction in nature.
Superoxide radicals can diffuse through the polymer membrane and
reach the enzymes, where they were reduced in a cascade reaction to
harmless reaction products H2O and molecular oxygen (Fig. 12b).
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In order to observe the detoxification process, i. e. the detection of
superoxide radicals and testing the antioxidant activity inside cells,
membrane proteins were needed in order to allow the passage of
substrates and products of LPO through the polymer membrane, which is
highly impermeable to small molecules.56 This was realised by the
incorporation of the outer membrane protein F (OmpF) in the vesicle
membrane to permit passive diffusion of molecules of sizes smaller than
600 Da.74 OmpF allowed that a second substrate for LPO, amplex red,
was able to penetrate the aqueous cavity of the vesicles, which was
converted in situ to a fluorescent product, resorufin, so that the activity of
the enzymes could directly be observed.
2.2. Design of an enzymatic cascade reaction to fight oxidative stress
The cascade reaction is initialised by SOD, which catalyses the
reduction of superoxide radicals, generated for test purpose in the initial
reaction by xanthine/xanthine oxidase (Fig. 12c), to hydrogen peroxide at
high efficiency. The reaction rate remains unchanged at physiological pH,
the condition used here, and appears not to be affected by pH variation in
range between pH 6 and 9.131 In the second step of the cascade reaction,
hydrogen peroxide is decomposed by LPO or CAT in presence of one of
its specific substrate, amplex red, which is converted to a fluorescent
product resorufin that can easily be detected (Fig. 12c). LPO was chosen
as a second enzyme due to its high activity at physiological pH – 80% of
its activity is preserved,132 which makes it compatible to SOD. In addition,
the ability to use a second substrate for LPO to generate a fluorescent
product in the end of the cascade reaction allows detailed
characterisation of the enzyme kinetics in bulk, in the nanoreactor and
when used as artificial organelle.
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In order to further optimise the cascade reaction, the use of CAT
instead of LPO as the second enzyme was considered. CAT plays an
important role in the ROS homeostasis of peroxisomes and is therefore a
promising enzyme in order to detoxify hydrogen peroxide.
2.3. Design and characterisation of antioxidant nanoreactors
We engineered antioxidant nanoreactors comprising of membrane
protein gated polymersomes, which are able to detoxify superoxide anion
radicals in the aqueous cavity via a cascade reaction. The cascade
reaction is based on the activity of Cu/Zn-SOD, which is the first enzyme,
and LPO or catalase (CAT) as the second enzyme.
To provide the reaction cavity, polymersome superstructures were
generated from the amphiphilic triblock copolymer poly(2-
methyloxazoline)-b-poly(dimethylsiloxane)-b-poly(2-methyloxazoline)
(PMOXA-PDMS-PMOXA) by self-assembly in aqueous solution at
physiological condition. The generated vesicles were mechanically very
stable,133 and do not comprise of structural defects as known from
liposomes. The used polymer membrane is highly permeable to
superoxide anion radicals, but impermeable to higher molecular weight
molecules such as saccharide ions or water.67 The functional
incorporation of OmpF in the polymersome membrane allows only a
passive diffusion of molecules up to 600 Da74 and thus is appropriate for
the use with a second substrate for LPO, amplex red, which is converted
in the presence of hydrogen peroxide, to a fluorescent product, resorufin.
This in turn simplifies the detection of the superoxide anion radical and
hydrogen peroxide detoxification process.
Based on the chemical nature and the hydrophobic-to-hydrophilic ratio
of the used PMOXA12-PDMS55-PMOXA12 copolymer, polymersome
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preparation was made using the direct dissolution method. This method
provides mild conditions so that the integrity and activity of different
enzymes encapsulated in nanoreactors were preserved.56,63
Fig. 13 A) TEM micrograph of empty PMOXA-PDMS-PMOXA polymersomes.
Scale bar = 200 nm; Light scattering of empty polymersomes: B) First order fit of
DLS data; C) Guinier plot representation of SLS data. Reprinted with permission
from Ref. 78. Copyright 2013 American Chemical Society.
Via this preparation method, homogeneous, empty PMOXA-PDMS-
PMOXA polymer vesicles with a diameter of 200 ± 40 nm were formed in
PBS buffer, as confirmed by TEM (Fig. 13A) and dynamic and static light
scattering (Fig. 13B and C).
Membrane permeability was adjusted according to an increase of
permeability while keeping the polymersomes intact. An OmpF
concentration of 50 µg/mL proved optimal for membrane permeability,
and did not affect membrane stability.70
Engineering artificial organelles
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2.3.1. Optimised encapsulation of individual enzymes in polymersomes
In order to work the best condition out to engineer efficient co-
encapsulated antioxidant nanoreactors, characterisation and optimisation
of each encapsulated enzyme type must be evaluated individually. In this
respect, individual encapsulation efficiencies needed to be assessed –
taking care not to induce vesicle aggregation or to disturb the vesicle self-
assembly process.
Fig. 14 A) TEM micrograph of SOD-encapsulated PMOXA-PDMS-PMOXA
polymersomes. Scale bar = 200 nm; Light scattering of SOD-encapsulated
polymersomes: B) Second order fit of DLS data; C) Guinier plot representation of
SLS data. Reprinted with permission from Ref. 78. Copyright 2013 American
Chemical Society.
The different concentrations used for polymersome preparation did not
affect their morphology or size of the nanoreactors, as established by a
combination of light scattering and TEM for: SOD (Fig. 14), LPO (Fig.
15), and CAT (Fig. 16).
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Fig. 15 A) TEM micrograph of LPO-encapsulated PMOXA-PDMS-PMOXA
polymersomes. Scale bar = 200 nm; Light scattering of LPO-encapsulated
polymersomes: B) Second order fit of DLS data; C) Guinier plot representation of
SLS data. Reprinted with permission from Ref. 78. Copyright 2013 American
Chemical Society.
In order to measure and quantify the number of encapsulated
enzymes and to increase the encapsulation efficiency of enzymes per
polymersome, the enzymes were labelled with different fluorescent dyes
− AlexaFluor-488 for SOD, AlexaFluor-633 or dylight-633 for LPO, and
dylight-488 for CAT − and the efficiency was determined by a combination
of fluorescence correlation spectroscopy and fluorescence brightness
measurements.
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Fig. 16 TEM micrograph of CAT-encapsulated polymersomes. Scale bar = 200 nm.
Reprinted with permission from Ref. 78. Copyright 2013 American Chemical
Society.
Upon labelling SOD with AlexaFluor-488, a labelling efficiency of three
AlexaFluor-488 molecules per SOD was obtained, which was considered
for the calculation of the encapsulation efficiency. Furthermore, one
AlexaFluor-633 molecule or 2.7 dylight-633 molecules per LPO, and 1
dylight-488 molecule per CAT was achieved.
The molecular brightness of the enzyme-containing polymersomes,
recorded as counts per molecules (CPM), was divided by the CPM of
freely-diffusing labelled enzymes to determine the number of enzymes
per vesicle. This number was then used to calculate the encapsulation
efficiency in vesicles (EEv) based on the initial enzyme concentration by
dividing the number of enzyme molecules per polymersome by the
maximum number, which could be theoretically encapsulated inside a
vesicle via a statistical, self-assembly process of encapsulation. The
detailed encapsulation efficiency (EEv) calculation is shown in the
Appendix.
When SOD-AlexaFluor-488 was encapsulated in polymersomes, the
diffusion time D changed from 109 s, which corresponds to the free
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SOD-AlexaFluor-488, to a value of 3.5 ± 1 ms, which indicates that the
enzyme was encapsulated in vesicles (Fig. 17A).
Fig. 17 A) FCS autocorrelation curves and the simulation of: a) free AlexaFluor-
488; b) SOD-AlexaFluor-488; c) SOD-AlexaFluor-488-containing vesicles; B)
Comparison of the theoretical and experimental amount of enzymes encapsulated in
a polymer vesicle as a function of initial enzyme concentration: Theoretical
(squares) and experimental (dots) number of SOD encapsulated in 75 nm radius-
sized polymersomes. Reprinted with permission from Ref. 78. Copyright 2013
American Chemical Society.
Preparing polymersomes with different initial amounts of SOD-
AlexaFluor-488 from 0.1 mg/mL to 0.5 mg/mL allowed the optimisation of
a maximum encapsulation efficiency of EEv of 25 ± 10% at an initial
concentration of 0.25 mg/mL (Fig. 17B). To rule unspecific binding of the
enzyme or of the labelled enzyme out, which would affect the calculated
number of encapsulated enzymes, control measurements using empty
polymersomes incubated with dye-labelled enzymes or with only the dye
were performed. In this case, no change of diffusion time was observed,
proving that neither AlexaFluor-488 nor SOD-AlexaFluor-488 interact to
empty polymersomes. Increasing the SOD concentration used for
encapsulation to 0.9 mg/mL caused solubility problems of SOD being the
limiting factor of further increase. The resulting high encapsulation
efficiency of SOD together with the high reaction kinetics
Engineering artificial organelles
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(kcat ≈ 10-9 M-1 s-1)131 were basic pre-requisites for efficient antioxidant
properties.
Similarly, encapsulation of LPO-AlexaFluor-633 in polymersomes was
characterised by a change in the diffusion time from 320 s,
corresponding to the free LPO-AlexaFluor-633, to 8.5 ± 1 ms, showing
successful enzyme encapsulation (Fig. 18A). In order to optimise LPO
encapsulation efficiency, differently concentrated enzyme solutions from
0.1 mg/mL to 0.5 mg/mL were used. The optimum EEv of 66 ± 33% was
reached with an initial LPO concentration of 0.25 mg/mL (Fig. 18B).
Fig. 18 A) FCS autocorrelation curves and the simulation of: a) free AlexaFluor-
633; b) LPO-AlexaFluor-633; c) LPO-AlexaFluor-633-containing polymersomes; B)
Comparison of the theoretical and experimental amount of enzymes encapsulated in
a polymer vesicle as a function of initial enzyme concentration: Theoretical
(squares) and experimental (dots) number of LPO encapsulated in 75 nm radius-
sized polymersomes. Reprinted with permission from Ref. 78. Copyright 2013
American Chemical Society.
Further increase of the concentration of LPO-AlexaFluor-633 used for
the encapsulation to 0.83 mg/mL led to the formation of aggregates
during the self-assembly process, characterised by FCS with diffusion
times of >30 ms and confirmed by TEM (Fig. 19A and B).
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Fig. 19 A) FCS autocorrelation curves and the simulation of: a) free AlexaFluor-
633 (50 nM) and b) LPO-AlexaFluor-633-containing aggregates (0.83 mg/mL); B)
TEM micrograph of LPO-AlexaFluor-633 containing aggregates. Scale bar = 2 μm.
Reprinted with permission from Ref. 78. Copyright 2013 American Chemical
Society.
The reason for aggregate formation is the unspecific binding, ob-
served, when free AlexaFluor-633 was incubated with empty polymer-
somes, which increased the diffusion time to 7 ms. When a high, initial
LPO-AlexaFluor-633 concentration was used for encapsulation, non-en-
capsulated labelled enzymes served as aggregation points on the outer
vesicle surface and induced aggregate formation. When LPO was
labelled with dylight-633 using the same high initial concentration, the
formation of aggregates could be avoided (Fig. 20).
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Fig. 20 Fluorescence autocorrelation curves: FCS autocorrelation curves (line) and
the simulation (dashed line) of a) free dylight-633 (50 nM); b) dylight-633-labelled
LPO (50 nM) and c) empty ABA polymersomes incubated with dylight-633. Re-
printed with permission from Ref. 78. Copyright 2013 American Chemical Society.
Nevertheless, aggregate formation is not a limiting factor of the optimi-
sation of the encapsulation efficiency, because the optimum EEv was ob-
tained at significantly lower concentration. Therefore, all further experi-
ments were conducted with LPO-AlexaFluor-633 for nanoreactor-, and
later artificial peroxisome-characterisation.
The modular build-up of nanoreactors allows to exchange enzymes for
further adaption to specific functions. Instead of LPO, we used CAT as a
second enzyme to test, if the nanoreactor activity could be further
increased. CAT is differed from LPO, it detoxifies H2O2 in a catalactic
reaction without the necessity of additional co-substrates and it has a
higher molecular weight of 250 kDa.134 When CAT-dylight-488 was
encapsulated, FCS measurements resulted in diffusion times of 4 ± 1 ms,
which can be attributed to CAT-dylight-488-containing polymersomes
(Fig. 21c). On the other hand, a diffusion time of 340 s was
characteristic of the free, labelled-enzyme (Fig. 21a), whereas the
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diffusion time for the free dye was 44 s. No aggregates were formed for
all different CAT concentrations used during vesicle formation.
Fig. 21 Normalized FCS autocorrelation curves (lines) and the simulation (dashed
lines) of a) free dylight-488; b) CAT-dylight-488 and c) CAT-dylight-488-containing
PMOXA12-PDMS55-PMOXA12 vesicles. Reprinted with permission from Ref. 78.
Copyright 2013 American Chemical Society.
A maximal EEv of 16 ± 9% was calculated based on brightness
measurements, which is lower compared to LPO. This can be explained
by the higher molecular weight of CAT compared to LPO, which creates
problems for efficient encapsulation, as shown before with lipid
vesicles.135
2.3.2. Activity assay of individual enzyme species in solution and in
polymersomes
LPO activity of the free enzyme in solution and encapsulated in
polymersomes was determined by using an activity assay comprising of
amplex red, which is converted by LPO in presence of hydrogen peroxide
to resorufin, shown in Fig. 22A and B, respectively.
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Fig. 22 A) Activity assay for LPO in free conditions with different concentrations of
amplex red: a) 3.75 µM; b) 1.88 µM; c) 0.94 µM and d) 0.47 µM. B) Activity assay
of: a) empty polymersomes (amplex red 0.5 µM); b) LPO encapsulated in
polymersomes without channel proteins (amplex red 0.5 µM) and LPO encapsulated
in polymersomes with channel proteins and with gradient of amplex red: c) 0.18
µM; d) 0.37 µM; e) 0.5 µM and f) 1 µM. Reprinted with permission from Ref. 56.
Copyright 2011 Wiley-VCH Verlag GmbH & Co. KGaA.
In order to measure enzyme kinetics, different substrate
concentrations of amplex red were used. As expected, polymersomes
containing LPO without OmpF gated membranes produced no resorufin
signal. On the other hand, LPO containing vesicles with gated
membranes clearly converted amplex red to resorufin in proportion to the
initial substrate concentration. This demonstrates that OmpF allows
substrates diffusing through the membrane.
Calculation of the kinetic constants for the LPO enzymatic reaction (KM
and Vmax) in free conditions compared to encapsulated conditions using
the Lineweaver-Burk equation136 gave information about the preservation
of enzyme activity. This showed that substrate affinity to LPO in
nanovesicles is slightly higher (KM value of 2.9 ± 0.1 µM) compared to
free conditions (KM value of 9.4 ± 0.3 µM). Higher substrate affinities in
encapsulated condition have already been reported,122 which results from
higher collision frequencies, due to the location of both enzyme and
substrate at the same interface. Comparison of the maximal reaction
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rates Vmax of the encapsulated enzyme (37.1 ± 7.1 µMs-1) with the
enzyme in free condition (132.3 ± 75.9 µMs-1) shows that it is lower in the
encapsulated condition, but still comparable to the free condition.
Fig. 23 LPO activity over time, when a) encapsulated in polymersomes and b) in
free condition. Reprinted with permission from Ref. 56. Copyright 2011 Wiley-VCH
Verlag GmbH & Co. KGaA.
The stability of encapsulated LPO was also compared to free LPO
over a time period of 60 days (Fig. 23); both systems were stored in dark
at 4 °C. After 60 days, LPO activity inside the polymersomes was still
approximately 70%, while the activity of LPO free in solution decreased to
40%, which could be a result of possible contamination with small
amounts of proteases of the free enzyme containing solution. This further
confirms that the aqueous cavity of the polymersomes provides
advantageous conditions for the enzyme in means of protection, which
was also reported for SOD containing polymersomes.51
During the optimisation of the antioxidant nanoreactor, we also
compared the enzyme kinetics of LPO-containing polymersomes to that
of CAT-containing polymersomes according to the activity assay
presented in Scheme 1. At comparable concentrations of LPO and CAT
Engineering artificial organelles
51
in free condition adjusted to the concentration range expected to be
present in polymersomes, CAT activity was comparable to the activity of
LPO (Fig. 24A). CAT activity was also measured in CAT-encapsulated
polymer vesicles. The successful incorporation of the channel protein
OmpF, which allows passage of H2O2 and amplex red through the
membrane, led to a clear decrease in the fluorescence signal (Fig. 24B
b) compared to the condition in which no CAT-encapsulated polymer
vesicles were present (Fig. 24B a). Thus, CAT was encapsulated in an
active form.
Fig. 24 A) CAT activity assay based on an assay containing LPO (50 nM), H2O2
(3 µM) and amplex red (0.5 µM) to monitor CAT activity in free conditions using
different CAT concentrations: a) 0 nM; b) 10 nM; c) 50 nM; d) 100 nM. B) CAT
activity assay based on an assay containing LPO (10 nM), H2O2 (0.6 µM) and
amplex red (0.1 µM) to monitor CAT activity: a) without nanovesicles; b) in
nanovesicles with incorporated OmpF channel membrane. [CR] = count rate.
Reprinted with permission from Ref. 78. Copyright 2013 American Chemical
Society.
Similar kinetics between peroxidases and CAT at low substrate
concentrations and under physiological conditions have already been
reported.137 But the result of the lower encapsulation efficiency of CAT
compared to LPO makes hydrogen peroxide degradation by CAT-
containing polymersomes less effective. The determinant of the enzyme
activity is in this case the encapsulation efficiency and not the specificity
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of the enzyme. Therefore, further experiments were performed using only
LPO as second enzyme.
2.3.3. Optimised co-encapsulation of SOD and LPO in polymersomes
Superoxide radical detoxification by the antioxidant nanoreactors
needs successful co-encapsulation of both enzyme types, SOD and LPO,
in polymersomes.
Fig. 25 Turbid solution containing SOD/LPO-co-encapsulated polymersomes.
(Sample after size-exclusion- and dye separation (dialysis) process.) Reprinted with
permission from Ref. 78. Copyright 2013 American Chemical Society.
The simultaneous co-encapsulation, using the optimised condition of
each individual enzyme type and self-assembly of the block copolymer
produced a turbid solution (Fig. 25). Co-encapsulation did not affect the
morphology or the size of the vesicles, as shown by TEM and light
scattering (Fig. 26A, B and C).
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Fig. 26 A) TEM micrograph of SOD/LPO co-encapsulated polymersomes; Light
scattering data for SOD/LPO-co-encapsulated vesicles: B) Second order fits of DLS
data; C) Guinier plot representation of SLS data. Adapted with permission from
Ref. 78. Copyright 2013 American Chemical Society.
In order to relate the ROS detoxification efficacy with the quantity of
co-encapsulated enzymes, fluorescence cross-correlation spectroscopy
(FCCS) was used. Because the encapsulation of the enzymes inside
polymersomes is based on a probabilistic process due to the unspecific
inclusion of molecules during the self-assembly process in vesicles, the
encapsulation of two different types of enzymes can produce the following
scenario. Either only one type of enzyme is encapsulated, none of them
were encapsulated, or both types of enzymes were simultaneously
encapsulated. In order to quantify the co-encapsulation, FCCS is used,
which is based on monitoring the fluorescence intensity fluctuation of two
fluorescent species in overlaying confocal volumes. If the two species are
moving in a simultaneous way, e.g. when located inside the same
confinement, a cross-correlation can be calculated, which is proportional
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to the degree of simultaneous movement. This technique allows to
determine the degree of co-localisation of the fluorescently labelled
enzymes SOD and LPO in the same polymersome.
Fig. 27 FCS and FCCS of SOD/LPO co-encapsulated polymersomes: a)
autocorrelation curves of vesicles containing SOD-AlexaFluor-488; b)
autocorrelation curves of vesicles containing LPO-AlexaFluor-633, and c) Cross-
correlation curves of SOD-AlexaFluor-488 and LPO-AlexaFluor-633 co-
encapsulated in the polymersomes. Dotted lines are experimental curves. Reprinted
with permission from Ref. 78. Copyright 2013 American Chemical Society.
Successful co-encapsulation was obtained, as shown in the positive
cross-correlation curve of the FCCS measurement (Fig. 27c). Qualitative
analysis of the fluorescence brightness measured in each channel (Fig.
27a and b) of the FCS measurement revealed that an enzyme ratio of
SOD:LPO of 1:2 was present inside the polymersomes. Fluorescence
from the first species detected in the second channel and vice versa, also
known as cross-talk, was negligible (<0.5 kHz) in the FCCS experiment,
due to the well-separated fluorescence emission spectra of AlexaFluor-
488 and AlexaFluor-633. Calculation of the relative amplitude of the
cross-correlation curve in relation to the amplitude of the auto-correlation
curve allows calculating that approximately 22 ± 10% of the
polymersomes contained simultaneously both enzymes. This is close to
Engineering artificial organelles
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the value of a theoretical calculation, based on the self-assembly process
of vesicle formation during individual enzyme encapsulation.
2.3.4. Multi-enzyme kinetics in a solution that simulates polymersome conditions
In order to carry out complex reaction as efficiently and in accordance
with nature, specific enzyme functionality in multi-enzyme systems needs
to be maintained. Based on the result of the FCS/FCCS quantitative
analysis, activity tests of the SOD/LPO cascade reaction in solution under
conditions simulating the concentration ranges of enzymes encapsulated
in polymersomes were performed.
Fig. 28 A) Cascade reaction in free conditions (xanthine (XA): 25 µM; xanthine
oxidase (XO): 0.17 U/mL; LPO: 16 nM): without SOD a), and with SOD (205 nM)
b). Both curves were smoothed via adjacent-averaging. B) Cascade reaction in free
conditions (XA: 25 µM; XO: 0.17 U/mL; LPO: 1.6 nM; SOD: 205 nM) for a
gradient of amplex red: a) 12.5 µM; b) 8.4 µM; c) 5.6 µM; d) 3.3 µM and e) 1.7 µM.
Reprinted with permission from Ref. 56. Copyright 2011 Wiley-VCH Verlag GmbH
& Co. KGaA.
In the SOD/LPO cascade reaction, the slope is increased in the
presence of SOD (Fig. 28A b) showing that the reaction completely
detoxifies superoxide radicals via hydrogen peroxide to water and
molecular oxygen. In comparison, when SOD is absent (Fig. 28A a), the
signal intensity is clearly reduced, which was taken into account as
background signal together with amplex red autooxidation. Because
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these effects can be neglected for other activity tests at high enzyme
concentration, the kinetics of encapsulated enzymes (Fig. 28B) will only
be compared to that of free enzymes in solution providing similar
concentration conditions as observed in nanovesicles.
2.3.5. Multi-enzyme kinetics in situ inside polymersomes
Optimisation of the co-encapsulation by the selection of optimal
enzyme concentrations and ratios allows a very efficient cascade
reaction, taking place in situ in the polymersome cavity, where superoxide
radicals were successfully reduced to molecular oxygen and water (Fig.
29A a). Resorufin, the product generated in the step by LPO in presence
of hydrogen peroxide was detected by fluorescent measurements. The
FCS set-up was used in these measurements due to its high sensitivity
and the requirement of only low sample volume.
Fig. 29 A) Cascade reaction of: a) SOD-LPO-loaded nanocontainers with OmpF
inserted inside the polymer membrane; b) SOD-LPO-loaded nanocontainers
without OmpF inserted inside the polymer membrane; c) LPO-containing vesicles
with OmpF inserted inside polymer membrane and d) empty polymer vesicles in the
presence of amplex red. B) Cascade reaction of SOD-LPO-loaded nanocontainers
with OmpF inserted inside the polymer membrane with added amplex red gradient
(XA: 25 µM; XO: 0.17 U/mL): a) 16.7 µM; b) 8.3 µM; c) 4.16 µM; d) 1.7 µM.
Adapted with permission from Ref. 56. Copyright 2011 Wiley-VCH Verlag GmbH
& Co. KGaA.
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SOD/LPO co-encapsulated polymersomes without OmpF (Fig. 29A b)
showed low resorufin formation, which can be attributed to non-
encapsulated LPO, which is still present in low amount after polymersome
purification and is able to oxidise amplex red in presence of H2O2
generated by xanthine/xanthine oxidase (XA/XO) as a by-product.
Similarly, LPO-encapsulated polymersomes with OmpF, but lacking of
SOD also showed low resorufin formation, which was detected due to the
generation of H2O2 generated by XA/XO (Fig. 29A c). The used triblock
copolymer did not induce amplex red autoxidation (Fig. 29A d). In
contrast, SOD/LPO containing polymersomes with OmpF reconstituted
channels were able to generate a considerable amount of resorufin (Fig.
29A a), which is characteristic for a complete cascade reaction. In direct
comparison to SOD/LPO containing polymersomes without reconstituted
OmpF (Fig. 29A b), resorufin intensity was clearly decreased. These
results are in agreement with FCCS measurements, which already
proved successful co-encapsulation.
SOD/LPO containing polymersomes with reconstituted OmpF could
statistically co-exist with polymersomes without OmpF. Based on the
OmpF concentration employed, approximately 14 OmpF molecules are
embedded in one polymersome. Due to this high amount of channels per
polymersome and the statistical distribution of channels, the probability
that a polymersome contains no channels should be small.
In order to qualitatively analyse this cascade reaction, the Michaelis-
Menten kinetic approach has shown to be a suitable model, e. g. in
characterising HRP in the glucose oxidase/horseradish peroxidase
tandem reaction.138 Even if the signal to noise ratio is at the detection limit
due to being close to the single molecule level, Michaelis-Menten kinetics
provided reliable results.139 Therefore, we applied the Michaelis-Menten
kinetic to extract the kinetic parameters of the SOD/LPO cascade reaction
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in free condition (for single molecules) and inside polymersomes (in bulk:
Fig. 28B and in polymersome condition: Fig. 29B).
Calculation of the Michaelis-Menten constant KM revealed a value of
1.1 ± 0.1 µM in free condition, which is lower compared to the value of
7.3 ± 0.4 µM for the SOD/LPO containing nanoreactors, because the co-
encapsulation is limited by the encapsulation efficiencies of the individual
enzymes as confirmed by FCCS. The individual enzymes containing
polymersomes also contribute to the overall cascade reaction, but this
reaction pathway is less effective than the pathway occurring in the co-
encapsulated polymersomes, because the hydrogen peroxide, converted
by SOD containing polymersomes, needs to exit the polymersome and
need to get in contact with polymersomes containing either SOD/LPO or
only LPO. However, the condition of excess of H2O2 is fulfilled due to the
extremely high SOD reaction speed and the presence of OmpF, which
allows good accessibility of the enzymes so that Michael-Menten kinetics
can be simulated.
With respect to Vmax, a value of 11.1 µMs-1 for enzymes in bulk
compared to the value of 0.02 µMs-1 shows the same trend as for single
enzyme encapsulation, where the conversion rate of the enzyme is higher
in bulk condition, because the substrate needs to pass through the
membrane proteins in order to reach the reaction volume inside the
polymersomes.
2.4. Combating superoxide anion radicals in cells by artificial peroxisomes
Polymersomes are qualified for the use inside cells due to their
intrinsic properties such as high stability and their limited miscibility with
phospholipids.140 Artificial organelles can be designed by the successful
uptake of polymersomes containing the desired enzymes in cells,
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providing that the enzymatic activity inside the polymersomes is
preserved under cellular conditions. The combination of the naturally
occurring enzymes SOD and LPO in synthetic polymersomes generates a
hybrid system, which shares the functionality and properties of
peroxisomes (morphology and size from 200 nm to 1.1 µm)141 when
implanted in cells.
Fig. 30 A) Schematic view of a cell showing various organelles. B) Peroxisomes are
spherical, cell organelles of sizes in the nanometre range that play a significant role
in the regulation of ROS. C) An artificial peroxisome (AP) is based on the
simultaneous encapsulation of a set of antioxidant enzymes in a polymer vesicle,
with a membrane equipped with channel proteins. The APs serve for ROS
detoxification inside cells. D) Schematic enzymatic cascade reaction occurring inside
the AP and serving to detoxify superoxide radicals and related H2O2. Reprinted
with permission from Ref. 78. Copyright 2013 American Chemical Society.
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The aim is to combat reactive oxygen species (ROS) in cells (Fig. 30).
Thus, designing efficient artificial peroxisomes (AP) (Fig. 30C) requires
an understanding of their integration into cells and the influence of their
properties on cellular interactions. Cell integration and preservation of
function needs that toxicity, cell-uptake of the polymersomes, intracellular
trafficking and translocation and functionality in intra-cellular conditions
must be studied.
2.4.1. Integration of artificial peroxisomes in cells
The first requirement of the compatibility to use artificial peroxisomes
(APs) in living systems is to assess possible toxic effect to cells. The
toxicity of APs was evaluated by a MTS assay in the HeLa cell line. APs
exhibit minimal in vitro cytotoxicity in HeLa cells for a period of up to 48
hours (Fig. 31A).
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Fig. 31 A) Viability in HeLa cells after incubation with different concentrations of
APs (MTS assay). Blue bars: incubation time 24 h, red bars: incubation time 48 h.
B) CLSM images of HeLa cells incubated with APs containing SOD-AlexaFluor-488
and LPO-AlexaFluor-633 for 24 h (Scale bar = 20 µm). C) CLSM images of HeLa
cells incubated with APs containing SOD and LPO-AlexaFluor-633 for different
incubation times. (Scale bar = 20 µm). D) Flow cytometry analysis of APs in HeLa
cells for different incubation times (0-, 2-, 4-, 8-, 18-, 24 h). Reprinted with
permission from Ref. 78. Copyright 2013 American Chemical Society.
This is in agreement with the reported non-toxicity of PMOXA-PDMS-
PMOXA-based copolymers with different block lengths studied in other
cell lines.57,62
The first interaction of an AP with a cell is the interaction with the cell
membrane, which determines a possible uptake in the following step. To
this end, we studied the uptake behaviour into HeLa cells of AP co-
encapsulated with SOD-AlexaFluor-488 and LPO-AlexaFluor-633. By the
use of a dual channel confocal fluorescence microscope, co-localisation
of a fluorescence signal coming from SOD-AlexaFluor-488 and of a signal
from LPO-AlexaFluor-633 showed that both enzymes were uptaken in
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cells (Fig. 31B). This is the first time that two different types of enzymes
capable of working in tandem in polymersomes are uptaken in cells.
Although two different enzymes were loaded in polymer vesicles
earlier by us and others,56,142 here we demonstrate for the first time the
presence of nanoreactors containing both enzymes in cellular system.
Further, we directly evidenced the effect of initial concentration dependent
co-encapsulation efficiencies of SOD-LPO enzymes inside nanoreactors
in intra-cellular conditions (Fig. 32). The concentration of SOD inside
nanoreactors (number of enzymes) can be increased to only a certain
extent, probably due to solubility. This effect was demonstrated by FCS
measurements used to determine the number of SOD per vesicle as a
function of SOD concentration (Fig. 17). However, we observed reduced
SOD fluorescence intensity, due to the interaction of LPO AlexaFluor-633
with the copolymer, which suppresses SOD encapsulation efficiency
during the co-encapsulation process. FCS and FCCS experiments
corroborated well with cellular uptake studies.
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Fig. 32 Confocal image of HeLa cells incubated with SOD-LPO co-encapsulated in
PMOXA12-PDMS55-PMOXA12 polymersomes prepared with different initial
concentrations. a) Control cells b) initial concentration of SOD (0.25 mg/mL) and
LPO (0.1 mg/mL) c) initial concentration of SOD (0.5 mg/mL) and LPO
(0.2 mg/mL) d) initial concentration of SOD (0.25 mg/mL) and LPO (0.5 mg/mL).
Reprinted with permission from Ref. 78. Copyright 2013 American Chemical
Society.
However, for detailed uptake kinetics experiments, we used APs only
encapsulated with AlexaFluor-633 labelled LPO to simplify the
measurements. Cellular uptake was increased with time from 2h to 18h
indicating time dependent internalisation of APs (Fig. 31C). Fluorescence
intensity varied from cell to cell, suggesting the number of internalised
APs in individual cells is different due to non-specific interactions and
miscellaneous level of direct contact to the cells at the close proximity.
In general, cellular uptake is directly related to the concentration of
nanoparticles. However, aggregation can dramatically influence the dose
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of nanoparticle exposed to a cell, changing the exposed concentration
compared to the initial bulk concentration.143 Aggregation behaviour will
not only affect the concentration of APs exposed to a cell surface, but
also change the properties of the APs by having some enzymes outside
which may mislead to inaccurate activity assessments. To test this
hypothesis, we studied the uptake kinetics of APs containing two different
initial concentrations of LPO-AlexaFluor-633 (0.25 mg/mL and
0.83 mg/mL). As we studied the effect of initial enzyme concentration on
encapsulation efficiency and aggregation (FCS experiments), we carefully
choose those two different initial concentrations. At low concentration
(0.25 mg/mL), no aggregation is observed (Fig. 18A), while the higher
concentrated system (0.83 mg/mL) allows to study aggregation behaviour
that was characterised by FCS (Fig. 19A). The rate of uptake was
quantified by using flow cytometry based on the mean cell fluorescence
corresponding to overall cell population. APs containing LPO-AlexaFluor-
633 (0.25 mg/mL) showed minimal uptake of around 10% after 2 h.
Uptake linearly increased over time and reached a plateau at 85% after
18h: cells were saturated with the uptake of APs after 18h under the used
experimental conditions. This saturation might be due to a depletion of
APs for the uptake or saturation of the storage capacity of cells.144,145 APs
containing LPO-AlexaFluor-633 at a concentration of 0.83 mg/mL forming
aggregates as observed by TEM and FCS showed a dramatic change in
the uptake reaching 60% after 2 h incubation time compared to APs
containing LPO-AlexaFluor-633 (0.25 mg/mL). This indicates that
aggregation can dramatically influence the dose of APs in cellular uptake
as well as the internalisation kinetics.
The uptake kinetics can also depend on the mechanism of the
internalisation pathway.146 The effects of several membrane entry
inhibitors on nanoreactor uptake were examined by first incubating the
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HeLa cells for 1 h at 37 °C with chloropromazine (10 μg/mL) in order to
inhibit the formation of clathrin vesicles, filipin III (1 μg/mL) to inhibit
caveolae, or amiloride (50 μM) to inhibit macropinocytosis, and then
treating the cells with nanoreactors (100 μg/mL) for an additional 24 h.
Next, the cells were washed twice with PBS (pH 7.2) and analysed with
flow cytometry.
Nanoreactors are generally internalised by cells through various
endocytotic pathways. Understanding the route of entry into cells for
nanoreactors is important because it determines intracellular fate and
therapeutic efficacy. Uptake kinetics can also depend on the mechanism
of the internalisation pathway. Preliminary experiments to detect the
mechanism of internalisation by using specific endocytosis pathway
inhibitors were analysed in flow cytometry (Fig. 33). The quantified data
suggest that at least two different pathways were involved in nanoreactor
uptake; clathrin-mediated endocytosis and macropinocytosis. Cellular
uptake of APs is dramatically hampered by amiloride, an inhibitor of
macropinocytosis (70%). Thus, macropinocytosis is one of the dominant
uptake pathways and is known for non-specific uptake; therefore,
aggregation strongly affects cellular uptake kinetics based on the route of
entry mechanism. Often more than one endocytotic pathway is involved in
the uptake of polymeric nanoparticles and particularly so in the case of
non-specific uptake.147
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Fig. 33 Flow cytometry analysis of LPO encapsulated in PMOXA12-PDMS55-
PMOXA12 vesicles in HeLa cells with different endocytotic pathway inhibitors (red:
non-treated cells, green: cells treated with nanoreactors without inhibitors yellow:
cells treated in advance with nanoreactors and with chlorpromazine, blue: cells
treated in advance with nanoreactors and with dimethyl amiloride, light blue: cells
treated in advance with nanoreactors and with filipin III). Reprinted with
permission from Ref. 78. Copyright 2013 American Chemical Society.
When nanoreactors serve as APs inside cells, endosomal escape is a
critical requirement. To evaluate whether APs escape endosomes or are
trafficked for degradation, we used an endo-lysosome marker, pH-rodo,
and visualised cells by confocal laser-scanning microscopy (CLSM). The
majority of APs were located in intracellular regions, particularly in the
peri-nuclear region, and only few were stayed in endo-lysosome
compartments (Fig. 34A). Based on the fluorescent signals from the peri-
nuclear region, it can be concluded that APs escaped from endosomes.
Co-localisation signals of endo-lysosome compartments and APs imply
that APs were transported through endocytosis. By visualisation of the
intracellular localisation of APs with TEM, further insight into endosomal
escape was gained. TEM micrography proved the presence of structurally
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intact APs in peri-nuclear regions, with only a few collapsed APs (Fig.
34B). In endosome-like compartments, the APs were present in clearly
reduced number (Fig. 34C). Intact APs escaped from endosomes and
were allocated in the cytoplasm, which is in agreement with the CLSM co-
localisation studies. Escape from endosomes by PMOXA-PDMS-PMOXA
vesicles has already been reported in THP-1 cells.62
Fig. 34 A) CLSM image of HeLa cells incubated for 24 h with APs (blue: nucleus
stained with Hoechst, green: endosome/lysosome stained with pH-rodo, red:
artificial peroxisomes) (Scale bar = 5 µm). B) TEM images of the peri-nuclear
region of HeLa cells incubated with APs for 12 h (Scale bar = 200 nm). C) TEM
images of endosome-like compartments in HeLa cells incubated with APs for 12 h
(Scale bar = 200 nm). D) Protective effect of APs against paraquat by flow
cytometry analysis: viability of untreated cells considered as 100%, (cells), viability
of cells after treatment with paraquat (PQ) and viability of cells pre-treated with
APs for 24 h, and sequentially treated with paraquat for a further 24 h (PQ-APs). E)
Real time ROS detoxification kinetics of APs in: a) cells treated with pyocyanin, and
b) cells pre-treated with APs (8 h) followed by treatment with pyocyanin. Reprinted
with permission from Ref. 78. Copyright 2013 American Chemical Society.
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It is noteworthy that similar block copolymer was studied for polymer-
lipid interactions to understand interfacial effects of the tri-block
copolymer with cell membrane. It has been demonstrated that smaller
amounts of the tri-block copolymer system was sufficient to force the lipid
membranes to phase separate and form domains.140 Additionally we have
shown in earlier studies that similar tri-block copolymer based
polymersomes escape the endosomes in THP-1 cells.62 Therefore, it is
clear that APs escape the endosomes possibly due to the ability to force
the endosomal membrane to phase separate thereby causing endosomal
escape.
To assess the APs antioxidant functionality, oxidative injury was
induced by paraquat in HeLa cells, known to induce toxicity involving
production of ROS.148 Since ROS serve as important intracellular
signalling molecules that affect cell viability, this viability in turn is
modulated by the intracellular production of ROS. The viability of the cells
was quantified by staining them with propodium iodide (PI), a fluorescent
and intercalating agent, and subsequent analysis using flow cytometry.
Cells pre-treated with APs provided an around 26% protective effect
against the oxidative stress caused by paraquat, although the number of
enzymes inside APs was low (Fig. 34D). Indeed, the efficient cascade
reaction inside the APs explains that the increased viability corresponds
to protective effect exclusively by APs. In order to determine the
involvement of APs in the ROS detoxification directly in cells, it is
important to be able to monitor ROS generation in intact, living cells. Such
detection is difficult due to the low concentration and high reactivity of
ROS. The short half-life of the ROS requires an immediate and real time
monitoring in the live cells. Live cell analysis of ROS detoxification
kinetics of APs was monitored in real time using highly sensitive ROS
fluorescent probes. We optimised the concentration of pyocyanin to
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stimulate the ROS in cells without causing cell death and cell suspension
over a period of 30 min, which shows continuous production of ROS.
Stimulated cells treated with APs detoxified the ROS under oxidative
stress in live cells (Fig. 34E). As expected, cell populations demonstrate
significant heterogeneity in rate of ROS generations upon stimulation to
pyocyanin. Thus, individual cells within a population may exhibit different
kinetics of ROS production as well as different detoxification kinetics.
2.5. Conclusion
We engineered artificial peroxisomes by the combination of natural
occurring antioxidant enzymes with synthetic block copolymers, which
form polymersomes, aiding the cellular antioxidant defence mechanism in
case of oxidative stress. Similar to nature, these APs contain SOD and
LPO or CAT, which detoxifies superoxide radicals in situ via hydrogen
peroxide to the harmless products water and molecular oxygen. The
generation of functional nanoreactors, which are able to be cell uptaken
and function as an artificial organelle, represent a milestone in the
development of in vivo cell implants and will open new frontiers in medical
therapy. The main advantage over previous attempts to reduce reactive
oxygen species is that the APs are not limited for example in uncontrolled
release of enzymes. They carry out the function of a cell organelle
permanently. The polymersome properties were optimised by means of
high encapsulation efficiency to allow an enhanced cascade reaction and
to mimic the morphology and function of a natural peroxisome. Enzymatic
activity over time is preserved even longer than in solution, making this
hybrid system not only suitable for therapeutic applications but also for
technical applications such as biosensors. For the therapy of oxidative
stress, we were able to show that the APs escaped in intact form from
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endo-lysosomes and were distributed within the cytoplasm, important for
proper functioning. In addition, viability measurements revealed that the
APs were non-toxic. Concluding the high efficacy of the APs in cells in
detoxification of superoxide radicals, the APs are a significant innovation
in the treatment of cellular ROS and the repair of disturbed cell functions.
This is of particular importance, because disturbed cell functions are
mainly responsible in the development of disease such as Parkinson`s
disease, arterial sclerosis, cancer and many more.
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3. Design of pH-triggered nanoreactors
The design of pH-triggered nanoreactors is based on the
encapsulation of environment-sensitive molecules in polymersomes and
their remote control via specific and functional ion-channels incorporated
in the polymersome membrane. Feasibility of this concept was proven
using lipid vesicles encapsulating pyranine (a pH dependent fluorescent
molecule) and a channel was formed in the lipid membrane with the ion-
channel forming molecule gramicidin A.149 Because lipid vesicles are very
fragile and short-lived, the further goal was to use polymersomes in order
to design stable and pH-triggerable nanoreactors.
Fig. 35 Procedure to prove functional gramicidin channel formation: a) Pyranine
encapsulated vesicles show high fluorescence at pH = 8.3. b) Upon lowering the pH
of the vesicle solution to pH = 5, the fluorescence of non-encapsulated pyranine
drops immediately. c) Upon addition of gramicidin, functional channel formation
lead to a permeabilisation of the vesicles and d) thus to a reduction of fluorescence
of the encapsulated pyranine. e) and f) Pyranine encapsulated vesicles preserve their
fluorescence activity, when no gramicidin was added.
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3.1. Motivation and concept
Specific functions under biological conditions of polymersomes can be
induced by external trigger factors, such as pH, light or temperature. This
is especially useful for therapeutic applications when unwanted side
reactions need to be avoided. A possible strategy to develop responsive
nanoreactors is by combining specific pores, such as gramicidin in the
membrane of polymersomes. Gramicidin incorporation in liposomes was
already reported.150 The proof of functionality of gramicidin in the
membrane was realised by encapsulating a pH-sensitive dye, pyranine, in
the aqueous cavity of liposomes. Upon lowering the pH of the liposome
solution, the quenching of pyranine molecules was directly monitored. In
this case, due to the protective character of the vesicles, encapsulated
pyranine molecules were not quenched and still yielded high fluorescence
intensity. In the next step, upon addition of the gramicidin ion-channels to
the vesicle solution, the pore forming capabilities were proven by direct
observation of the quenching of the dye encapsulated in the vesicles. The
conceptual steps of functional gramicidin incorporation are illustrated in
Fig. 35. After the successful realisation of this technique with liposomes,
the same preparation procedure and execution of the experiments were
performed using polymersomes.
3.2. Evidence of functional ion-channel incorporation in liposomes
Gramicidin appears in different conformations when dissolved in
different solvents151 and not every solvent provides functional pore
formation. First a suitable solvent had to be identified, which allows ideal
pore formation and would not destroy the vesicles. The different solvents
for gramicidin, dimethyl sulphoxide (DMSO), trifluoroethanol (TFE),
dioxane, pyridine, isoporpanol, decane and the mixtures DMSO:ethanol
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(DMSO:EtOH) in the ratio 1:1 and the mixture TFE:DMSO:EtOH (2:1:1)
were first tested on lipid pyranine-encapsulated vesicles. Fluorescence
spectroscopy results for liposomes were shown in Fig. 36.
Fig. 36 Fluorescence spectrometry: Time driven fluorescence measurement of the
fluorescence emission of pyranine encapsulated in lipid vesicles after lowering pH
from 8.3 to 5 (each measurement around time point of 75 s) and subsequent addition
of gramicidin (in different solvents) after around 160 s.
As expected (due to the pH dependent fluorescence intensity of
pyranine), a decrease in fluorescence intensity occurred after adding HCl
solution. Subsequently, gramicidin in different solvents was added. A
further decrease of fluorescence intensity in liposomes was only
observed, when gramicidin dissolved in DMSO, TFE, pyridine, decane,
DMSO:EtOH (1:1), or isopropanol was added after around 160 s to the
liposome solution, shown in Fig. 36. This indicates that functional ion-
channels were reconstituted in the membrane of the liposomes. In
addition, these used solvents were not able per se to
permeabilise/weaken the liposome membranes, because no change of
signal intensity was observed after the treatment with the solvent.
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3.3. Evidence of functional ion-channel incorporation in polymersomes
The solvents that allowed gramicidin to build a functional pore into the
liposome membrane were then tested with pyranine encapsulated
PMOXA14-PDMS65 polymersomes.
Fig. 37 Fluorescence spectrometry: Time driven fluorescence measurement of the
fluorescence emission of pyranine encapsulated in PMOXA14-PDMS65 vesicles after
lowering pH from 8.3 to 5 (after 65 s) and subsequent addition of gramicidin (in
TFE:DMSO:EtOH (2:1:1)) after 110s. Addition of gramicidin (red); addition of
solvent (TFE:DMSO:EtOH (2:1:1)) (black).
HCl was added after 50 s to 80 s and the solvents (with and without
gramicidin) were added after 110 s to 130 s. Only gramicidin dissolved in
TFE:DMSO:EtOH (2:1:1) added to the vesicles lead to a reduction of
fluorescence intensity, without destroying/destabilising the membrane by
the solvent alone (Fig. 37). Note that we observed a permeabilisation of
the membrane, when solely TFE was used. Interestingly, this behaviour
was not observed when liposomes were used.
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In order to prove structural integrity of the polymersomes after different
steps, preliminary TEM measurements and light scattering experiments
were performed before, after lowering pH and after addition of the
gramicidin dissolved in TFE:DMSO:EtOH (2:1:1). In the first step, TEM
micrographs showed the formation of pyranine-encapsulated
polymersomes in pH 8.3 (Fig. 38A). After lowering the pH of the
polymersome solution from 8.3 to 5, TEM micrography revealed structural
defect vesicles (Fig. 38B).
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Fig. 38 TEM micrographs of A) AB polymersomes containing pyranine. pH inside
and outside of polymersomes = 8.3; B) AB polymersomes containing pyranine.
Image was taken after pH of the solution was reduced to pH = 5; C) AB
polymersomes containing pyranine. Image was taken after pH was reduced to pH =
5 and subsequent addition of gramicidin.
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Considering that the fluorescence intensity during fluorometric
experiments did not vanish completely when the pH was lowered, the
TEM results suggest that a high proton pressure induced a polymersome
collapse during harsh TEM sample preparation. This explanation is
further supported by TEM micrographs showing intact polymersomes
(Fig. 38C), when the pH of the polymersome solution was decreased,
while gramicidin was incorporated into the polymersome membrane.
Under these conditions, the high proton gradient induced by the pH
change is immediately equalized inside the polymersomes by functional
pore formation.
In addition, gramicidin incorporation also shows no membrane
destabilisation effects. These results further underline preliminary light
scattering experiments (Fig. 39A - C), where the hydrodynamic radii did
not change between the different steps of the experimental procedure; i.
e. A) non-treated polymersomes, B) measurement after lowering pH, C)
measurement after lowering pH and subsequent addition of gramicidin. In
this last step, an additional small peak in the size range of 10 nm
appeared, which can be contributed to the formation of micelles induced
by the solvent of gramicidin.
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Fig. 39 Preliminary dynamic light scattering experiments of A) AB polymersomes
containing pyranine. pH inside and outside of polymersomes = 8.3; B) AB
polymersomes containing pyranine after the pH of the solution was reduced to pH =
5; C) AB polymersomes containing pyranine after the pH was reduced to pH = 5
and subsequent addition of gramicidin.
3.3.1. Ion-channel formation (H+ kinetics) as a function of gramicidin
concentration in polymersome membranes
Different gramicidin concentrations were used to study H+ influx rate
as a function of gramicidin concentration in the membrane of
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polymersomes. Already at a gramicidin concentration of 65 nM (Fig. 40,
red line), H+ influx can be observed, showing that already a low number of
gramicidin is sufficient for proton trafficking. This is in agreement with the
high monovalent cation conductance of gramicidin.151 A two-fold increase
of the gramicidin concentration to 130 nM showed no significant increase
in the H+ influx rate (Fig. 40, blue line), while at a gramicidin
concentration of 32 nM no pore formation was detected (Fig. 40, black
line).
Fig. 40 Fluorescence spectrometry: Time driven fluorescence measurement of the
fluorescence emission of pyranine encapsulated in PMOXA14-PDMS65
polymersomes after lowering pH from 8.3 to 5 (after 125 s) and subsequent addition
of gramicidin (after 300 s) (in TFE:DMSO:EtOH (2:1:1)) at different gramicidin
concentrations (dark line: 32 nM; red line: 65 nM; blue line: 130 nM).
3.4. pH-triggered nanoreactors
Gramicidin incorporation in PMOXA14-PDMS65 polymersomes forms
the basis to engineer pH-triggered nanoreactors, which are composed of
a model pH-sensitive enzyme, acid phosphatase. In order to visualise
enzymatic activity, a suitable substrate need to be co-encapsulated with
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the enzyme. Here the enzyme substrate ELF97 was used, which is
converted into a fluorescent product, upon activation of the enzyme (Fig.
41).
Fig. 41 Schematic view of acid phosphatase and ELF97 co-encapsulated vesicles.
Upon lowering pH to around pH = 5 and subsequent addition of gramicidin in order
to permeabilise the vesicle membrane, the resulting pH condition inside the vesicle
activates acid phosphatase, which produces a fluorescent product from the ELF97
substrate.
In order to prove the concept, acid phosphatase together with ELF97
was co-encapsulated in liposomes. Inside the liposomes, activation of
acid phosphatase by a change of pH to either pH 6 (Fig. 42 blue line) or
pH 5 (Fig. 42 dark line) led to the formation of fluorescent ELF97 product,
when gramicidin formed ion-channels in the vesicle membrane. Under
these conditions, the successful lowering of the pH in the vesicles allowed
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to activate the enzyme. In contrast, no fluorescent product was formed in
absence of gramicidin (Fig. 42 red line).
Fig. 42 Time dependent fluorescence emission of ELF97 product encapsulated in
acid phosphatase co-encapsulated liposomes: black line) Adjusting pH to around 6
and subsequent addition of gramicidin led to the formation of the fluorescent
ELF97 product; red line) Adjusting pH to around 6 in absence of gramicidin did not
induce product formation; blue line) Adjusting the pH to 5 and subsequent addition
of gramicidin led to an increased formation of the fluorescent ELF97 product.
When the same reaction was performed using vesicles made from
PMOXA14-PDMS65 copolymer, no increase of fluorescence was observed.
Thus, we were not able to generated pH-sensitive polymer nanoreactors.
The reason for this result might be that a low encapsulation efficiency of
the enzyme does not allow for simultaneous co-encapsulation of the
substrate, necessary to detect the enzymatic functionality. To solve this
problem, further optimisation of the individual encapsulation of the
enzyme and substrate is needed in order to allow co-encapsulation.
Another possibility could be the switch to a new enzyme/substrate
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system, which is distinguished with improved properties such as
increased encapsulation behaviour and assay sensitivity.
3.5. Conclusion
The diblock copolymer used here formed vesicles in the diameter of
approximately 200 nanometres and was able to encapsulate a pH
sensitive dye, pyranine. This was used in order to prove the incorporation
of gramicidin in the membrane of polymersomes. This achievement is an
important step towards the design of pH-triggerable nanoreactor, in order
to activate or deactivate the nanoreactor activity upon request via specific
ion-channels. Up to now, encapsulation of a pH sensitive enzyme, acid
phosphatase, together with its substrate is only possible in case of
liposomes generating only a low detection signal. In case of
polymersomes, no signal could be generated, indicating no simultaneous
co-encapsulation of the enzyme and its substrate. Further investigation to
improve encapsulation efficiency of the enzyme and the substrate to
achieve pH-sensitive nanoreactor are on-going. It is also considered to
exchange the enzymatic system in order to improve the system’s
performance and thus to engineer functional pH-switchable nanoreactors.
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4. Metal-functionalised polymersomes for molecular recognition
The specificity exhibited by molecular recognition assemblies is based
on a perfect structural match between biological entities, which results in
minimisation of energy, allowing the energy barrier to be by-passed and
to fulfil a biological role. The fact that molecular recognition is based on
highly selective moieties, their application is discussed in industrial and
medical context, such as the purification102,103 and immobilisation21,23,104,105
of biomolecules, labelling of proteins,106,107 2D-crystallisation23,104 and
biosensing.152,153 Molecular recognition also plays an important role in the
development of nanocarriers for drug/protein delivery or nanoreactors due
to the potential decrease of dosages and improved localisation in a
desired biological compartment. In this respect, these carriers need to be
functionalised with a specific affinity tag to enable molecular recognition.
4.1. Motivation and concept
In a molecular recognition process, solvent molecules are specifically
replaced by ligands. During this process, a change of geometry can occur
at the binding site, which allows specific recognition. Even though the
principle is widely applied in technology, the change of geometry and the
exact mechanism are in many cases poorly understood.
Here, we characterise in detail the conformation change of the
coordination sphere of CuII-trisNTA centres, which were used to
functionalise poly(butadiene)-b-poly(ethylene oxide) (PB-b-PEO) diblock
copolymers. These metal-functionalised block-copolymers are able to
form polymersomes in aqueous solution with metal centres exposed at
the inner and outer surface (Fig. 43A), while only the outer exposed
metal centres were used for binding studies. We used trisNTA (Fig. 43E)
for functionalisation, because its binding affinity is higher than NTA (Fig.
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43C). His6-tags with optional labelling can be used to bind to these
molecular architectures (Fig. 43D). The use of His6-tags is regarded to
be a simplified model of His6-proteins, which were used to bind to metal
sites of the polymersomes` surface. This simplification of using short His6-
tags allows better understanding of the docking mechanism, which is
essential for biological, technical and medical applications. Compared to
Ni2+ ions, which are used in many NTA-based systems that have an
octahedral coordination sphere, different coordination geometries exists
for Cu(II).154 The different arrangements of Cu(II) are induced by its
stereochemistry and allows us to use copper as the metal-coordination for
His6-tags and to gain a deep insight into the rearrangement of the metal
centre upon binding of a tagged molecule.
The high affinity of different His-tagged proteins to metal-NTA
functionalised liposomes and PB-b-PEO diblock copolymer
polymersomes is widely known.21,23,104 Because the dissociation constant
of His-tagged proteins is more or less independent of the surface where
the metal centre is bound, the local environment of the metal is crucial
during the binding process.
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Fig. 43 A) Schematic representation of CuII
-functionalised PB-b-PEO vesicles. The
metal centres available for binding are located on the outer vesicle surface that can
be recognised by fluorescently labelled His6-tags; B) Detailed view of A); C)
Schematic formula of CuII
-NTA complex and D) fluorescently labelled
(sulphorhodamine B-His6-tags; E) CuII
-trisNTA. X represents solvent molecules or
external binding atoms of other molecules. The red star represents
sulphorhodamine B. Reprinted with permission from Ref. 55. Copyright 2012
American Chemical Society.
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4.2. Formation of Cu(II)-trisNTA functionalised polymersomes
Using the diblock copolymer PB39-PEO36-SA-OH-containing 10% PB39-
PEO36-SA-trisNTA.d-Cu2+ and applying the film rehydration method led to
the self-assembly of polymersomes. In order to reduce the polydispersity
of polymersome sizes, ranging from giant vesicles to nanovesicles, the
sample solutions were extruded through a 1 µm, 400 nm and 200 nm
pore-sized filter membrane in descending order. The use of copper
instead of nickel has the advantage of studying the copper
stereochemistry and to determine the final structural changes in the
metal-coordination environment by EPR while a high binding affinity is
provided by Cu(II).
Fig. 44 A) Dynamic light scattering representation. Data extrapolated to zero
concentration and zero angle of vesicles made from 10% CuII
-functionalised PB39-
PEO36 block copolymer; B) Guinier plot representation of static light scattering
data of vesicles made from 10% CuII
-functionalised PB39-PEO36 block copolymer.
The data is extrapolated to zero concentration and zero angle. Reprinted with
permission from Ref. 55. Copyright 2012 American Chemical Society.
Dynamic light scattering155 was used to characterise the polymersome
hydrodynamic radius to a value of Rh = 107 ± 12 nm (Fig. 44A),
comparable to NiII-functionalised trisNTA-PB-b-PEO vesicles.23 Static light
scattering experiments (Fig. 44B) allow to calculate the radius of gyration
(RG) and the ratio of RG/Rh was determined subsequently as 0.96, which
indicates a hollow-sphere morphology.155
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As expected, size and morphology of the polymersomes were not
affected by using similar copper concentration compared to nickel inside
the NTA moieties.23 This also indicates that the metal ions are complexed
in the NTA pockets of the trisNTA and do not affect the polymer
membrane. Further, static light scattering characterisation provided the
weight average molecular weight of a vesicle (Mw) to be 8 x 107 ± 3 x 106
gmol-1 and the second virial coefficient A2 to be close to zero, ruling out
any long-range interactions between the vesicles in the investigated
concentration range. In addition, the polymersomes preserved their size
and shape over several months at room temperature.
Another characteristic of polymersome formation is the aggregation
number, which is obtained by dividing the weight average molecular
weight of a vesicle by the weight average molecular weight of the diblock
copolymer. The value calculated for this system is 20,000, which is typical
for nanometre-sized polymersomes.24
This aggregation number can be used to qualitatively analyse the
number of functional metal ions on the outer polymersome surface. There
is a 50% probability that the used Cu-trisNTA-functionalised diblock
copolymers protrude at the outer surface. Further, it has to be considered
that only 10% of polymers used were functionalised, which, in addition,
decreases the percentage of active available functional groups.
Therefore, based on the assumption that only 10% of block copolymers
was rehydrated during the film hydration process, we estimated that a
polymersome contains approximately 300 metal ions, which corresponds
to 20 copper ions per 100 nm2 of polymersome surface (nanometre-sized
polymersomes).
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4.3. His6-tags binding to CuII-trisNTA polymersomes
When His6-tags bound to the nanometre-sized CuII-trisNTA
polymersomes, no change in morphology or structure was observed,
demonstrating the high stability after the recognition process (Fig. 45).
Also, no aggregate formation was induced upon binding of the tag-
molecules, which could affect cellular-uptake behaviour for potential
therapeutic applications. This was shown by TEM micrographs of 10%
copper-functionalised polymersomes, before and after the addition of
His6-tags (Fig. 45A and B). In both cases, the size of the polymersomes
is consistent with the values measured with light scattering. Contrast
differences in the TEM micrographs of non-bound Cu-trisNTA-
functionalised polymersomes compared to the same polymersomes with
attached His6-tags are likely due to different capillary effects.
Fig. 45 TEM micrograph of 10% copper-functionalised polymersomes. A) CuII
-
trisNTA-functionalised PB-b-PEO polymersomes; B) His6-tag bound to CuII
-
trisNTA-functionalised PB-b-PEO polymersomes. Reprinted with permission from
Ref. 55. Copyright 2012 American Chemical Society.
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To visualise His-tag binding with confocal laser-scanning microscopy,
we generated giant CuII-trisNTA-functionalised PB-b-PEO polymersomes
and incubated them with fluorescently labelled-His6-tags (s-His6-tags). To
reduce the background fluorescence intensity of the images, non-bound
peptide (in a small amount) was removed by dialysis. In the laser-
scanning micrographs, polymersomes specifically bound with s-His6-tags
appear as bright fluorescent coronas (Fig. 46A). Because the PB-b-PEO
polymersome membrane is highly impermeable to small molecules, the
fluorescent s-His6-tags were not able to penetrate the membrane. The
hollow vesicular structure of the peptide bound polymersomes could be
clearly rendered by the composition of fluorescent z-stack images taken
in different layers of the sample (Fig. 46B).
Fig. 46 Confocal fluorescence microscopy image of fluorescently labelled His6-tags
bound to the outer surface of PB39-PEO36-SA-/ 10%-PB39-PEO36-SA-trisNTA.d-Cu2+
(800 µM) vesicles incubated with s-His6-tags in bidistilled water. A) Two-
dimensional cut, focused on the mid-plane of the selected vesicles; B) three-
dimensional image produced by merging two-dimensional layers measured at
different heights. Reprinted with permission from Ref. 55. Copyright 2012
American Chemical Society.
Fluorescence correlation spectroscopy (FCS) is widely used to
investigate molecular interactions of fluorescent molecules, such as green
fluorescent protein interaction to an antibody.156 Here, this technique is
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used to study the binding of fluorescently labelled His6-tags to nanometre-
sized polymersomes, based on the change of diffusion times, which is
different from small molecules (for example fluorescently labelled His6-
tags) compared to big entities, for example nanovesicles. CuII-
functionalised polymersomes (at a concentration of 8 µM) incubated with
s-His6-tags (initial concentration of 50 nM) showed two populations. A
small portion (< 5%) of a population with a diffusion time of 56 µs
represents free peptides still present in solution. The other population, to
a portion of more than 95%, has a characteristic diffusion time of 7.5 ms,
which can be attributed to s-His6-tags bound to vesicles (Fig. 47A).
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Fig. 47 A) FCS autocorrelation curves and the simulation of a) sulphorhodamine B
acid chloride labelled His6-tags; b) sulphorhodamine B acid chloride labelled His6-
tags bound to vesicles; B) Fraction of bound s-His6-tags as a function of the CuII
content of PB39-PEO36-SA-OH/ 10%PB39-PEO36-SA-trisNTA-Cu2+
vesicles
generated in bidistilled water. (Initial concentration of His6-tag: 50 nM, and initial
concentration of Cu-trisNTA functionalised vesicles: 8 µM). Reprinted with
permission from Ref. 55. Copyright 2012 American Chemical Society.
Similar experiments of His6-red fluorescent protein to NiII-
functionalised PB-b-PEO polymersomes exhibited a similar binding
behaviour, proving that our His6-tag model system can be used to check
binding properties of much larger His-tagged proteins. The small size of
the model peptides should also cause less interference with the vesicle
surface, which in turn allows faster and stronger binding behaviour.
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92
FCS results are in agreement with the observations from confocal
microscopy, where the majority of s-His6-tags are bound to the metal-
functionalised polymersomes (Fig. 47A and B). From the diffusion time
obtained by FCS, the hydrodynamic radius Rh can be determined via the
Stokes-Einstein equation to be 90 nm − comparable to both values
obtained from light scattering and TEM.
The dissociation constant of s-His6-tags bound to Cu2+-functionalised
polymersomes was determined by a titration of the s-His6-tags (50 nM)
with increasing amounts of polymersomes (Fig. 47B). The Cu2+ of the
vesicle was varied from 2 to 8 M. The corresponding curve was fitted by
a Langmuir isotherm21,157 (equation 7) and the binding constant was
determined.
(7)
F corresponds to the corrected fraction of His6-tags-bound vesicles
and P is the metal concentration of the related samples. K stands for the
binding constant. A dissociation constant KD of s-His6-tags was calculated
to a value of 0.6 ± 0.2 µM. In comparison to other KD of similar systems
shown in Table 1, this value is lower, which stands for increased binding.
Table 1 Different KD-values in polymersomes and liposomes using different His-
tagged ligands.
Vesicle system Ligand KD [µM] (FCS-
based) Ref.
PB60-b-PEO34-SA/PB60-b-PEO34-SA-NTA.d-Ni2+ His6-EGFP 12.0 ± 0.8 21
PB39-b-PEO36-SA/PB39-b-PEO36-SA-trisNTA.d-Ni2+ His6-RFP 2.0 ± 0.4 23
PB39-b-PEO36-SA/PB39-b-PEO36-SA-trisNTA.d-Ni2+ His10-MBP-
FITC 7.0 ± 1.2 21
PB39-b-PEO36-SA/PB39-b-PEO36-SA-trisNTA.d-Ni2+ His6-EGFP 12.3 ± 1.2 21
Ni2+-NTA-NBD-lipid His6-peptide 4.3 ± 0.8 157
PB39-b-PEO36-SA/PB39-b-PEO36-SA-trisNTA.d-Cu2+ His6-tag 0.6 ± 0.2 this work
Engineering artificial organelles
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In Table 1, nickel-functionalised vesicles were used for protein binding
for comparison with our copper-functionalised systems. It was shown by
molecular dynamics simulations that NiII and CuII have a similar affinity
towards a His6-tag.120 Nevertheless it was shown that copper binds His-
tags more strongly than nickel, providing a high binding capacity, but a
poorer specificity.
Comparing the His6-tags binding of our copper-functionalised
polymersomes with His6-RFP binding to PB39-PEO36-trisNTA.d-Ni2+
vesicles, a much greater binding affinity can be stated. We assume that in
addition to the different binding affinity as explained before, the small
peptide molecules interfere less with the flexible PEO chains at the
polymersome surface, so that improved binding conditions were provided.
Polymersomes containing no metal-functionalised block copolymers
showed less than 3% His6-tag binding measured under the same
conditions. This low unspecific binding of the His6-tag is in agreement with
the protein repellent character of PEO chains at the vesicle surface.22
Also non-functionalised vesicles did not bound s-His-tags after addition of
Cu(OTf)2, clearly defining that copper complexed in the NTA pocket is the
recognition point of His-tag proteins.
FCS can be also used to quantify the number of bound s-His6-tag per
polymersome by performing brightness measurements. The molecular
brightness of peptide-bound polymersomes recorded as counts per
molecule (CPM) must be divided by the CPM of freely diffusing s-His6-
tags, taking the fluorescence quantum yield into account. This calculation
resulted on average in 210 ± 36 molecules per polymersome. Compared
to the value of reported His6-RFP binding to vesicles, s-His6-tags bound
an order of magnitude higher to the polymersomes of similar nature.
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94
When the small size of the used labelled His6-tags compared to the size
of a fluorescent protein is considered, we can hypothesise that more
metal-trisNTA moieties can be more easily occupied with small peptides,
which explains the small KD value (Fig. 43A and B). Furthermore, the
calculated number of His6-tags per polymersomes is in agreement with
the available metal ions/polymersomes calculated from the aggregation
number determined by light scattering.
4.4. Structure of the coordination sphere of CuII in His6-tag-Cu
II-trisNTA
polymersomes in comparison to model systems
In order to gain more insight inside the coordination sphere of Cu(II)
before and after the binding process of the His-tag molecules, electron
paramagnetic resonance spectroscopy (EPR) was applied. EPR can be
used to characterise structural information of paramagnetic species, e. g.
transition metals or radicals. The observed X-band CW-EPR spectrum of
polymersomes (Fig. 48a) produces only a broad signal with a low
intensity, which can be ascribed to a high local copper concentration
coming from the high number of metal ions per polymersome as
calculated from light scattering data. In this case, the resulting strong
dipolar interactions of the CuII centres are potentially responsible of
broadening of the EPR spectrum to the detection limit. On the other hand,
EPR measurements of CuII-functionalised PB39-PEO36-SA-trisNTA.d.21
provided clear spectra. The CW-EPR spectrum of the functionalised
polymersomes (Fig. 48a) is different from the simulated spectrum, where
the reported EPR parameters of the latter building blocks were used for
the polymersomes (Fig. 48b). Because the spectrum in polymersomes
(Fig. 48a) exhibits spectral features, which were characteristic of strong
dipolar interactions between CuII sites, it cannot be simulated using a
single species.
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Fig. 48 (a) X-band CW-EPR spectrum of a frozen solution of CuII
-trisNTA
functionalised vesicles in bidistilled water taken at 100 K. (b) Simulation of the CW-
EPR spectrum of the PB39-PEO36-SA-trisNTA.d using the parameters reported in
Ref. 20
. (c) Experimental X-band CW-EPR spectrum of a frozen solution of CuII
-
trisNTA functionalised vesicles incubated with the His6-peptide in a 1:50 ratio taken
at 10 K. (d) Simulation of (c) using the parameters in Table 1. (e) and (f) individual
contributions to the simulation (d). All presented spectra are normalised for clarity.
The spectral intensity of (a) is more than a factor 10 lower than that of (c).
Reprinted with permission from Ref. 55. Copyright 2012 American Chemical
Society.
When we incubated the polymersomes with His6-RFP, His6-EGFP or
with His6-tags, only the addition of His6-tags, at an initial concentration of
2 mM, led to a change in the EPR spectra compared to the non-bound
condition, observable in an increased CW-EPR signal. This behaviour is
caused by the lower concentration of His6-proteins used, which is limited
by their commercial availability and the function of the peptide to act as a
spacer between the different CuII sites. In Fig. 48c, the X-band CW-EPR
spectrum together with its simulation (Fig. 48d) of His6-peptide incubated
polymersomes is shown. Two contributions can be discerned (EPR
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96
parameters are given in Table 2), although the signal is poorly resolved.
The EPR parameters are typical of type II copper centres.158 The
vesicle:His6 system is in agreement with the situation where CuII is
equatorially ligated either to four oxygen atoms (4O) or to one nitrogen
and three oxygen atoms (1N3O) as the first EPR parameters. The second
types imply that either two nitrogen atoms and two oxygen atoms (2N2O),
three nitrogen atoms and one oxygen atom (3N1O), or four nitrogen
atoms (4N) are coordinated with CuII, whereas the last set supports
histidine binding. In this case, high values for the z-component of the
copper hyperfine have been reported.159-163 The third contribution caused
by the copper sites located on the inner vesicle surface will be present at
considerably lower intensity, which is in agreement with the spectrum in
Fig. 48a.
Different model systems have been studied to interpret the above
findings: a) a mixture of Cu-triflate (Cu(OTf)2) with NTA, b) a mixture of
Cu(OTf)2 with His6-peptide and c) a mixture of Cu(OTf)2 with His6-tags
and NTA. The obtained EPR parameters are presented in Table 2. It is
evident that the His6-tags cannot bind to free CuII ions under the given
conditions. This possibility was excluded by the fact that the spectral
changes did not occur (Fig. 48), when peptide was added to non-
functionalised vesicles containing free CuII ions in the solution. Moreover,
EPR experiments made with different mixtures of Cu(OTf)2, NTA and the
His6-peptide showed that both NTA and the peptide ligate to the Cu(II)
ion. Also, it became obvious that more CuII centres are linked with
increasing His6-tag concentration.
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Table 2 Principal g and copper hyperfine values of CuII
-trisNTA functionalised
polymersomes compared with different model systems. The hyperfine values are
given for the 63
Cu nucleus.
gx, gy gz |Ax|,|Ay|/MHz |Az|/MHz
CuII vesicles with His6 2.035 (± 0.004)
2.066 (± 0.005)
2.230 (± 0.001)
2.215 (± 0.001)
5 (± 20)
5 (± 20)
570 (± 1)
590 (± 2)
Cu(OTf)2:NTA (1:5) 2.061 (± 0.005) 2.302 (± 0.001) 45 (± 20) 512 (± 2)
Cu(OTF)2:His6 (1:5) 2.074 (± 0.005) 2.375 (± 0.001) 21 (± 20) 450 (± 2)
Cu(OTf)2:NTA:His6 (1:5:5) 2.058 (± 0.005) 2.282 (± 0.001) 10 (± 20) 510 (± 2)
PB39PEO36-SA-trisNTA.d 2.052 2.253 91 517
Cu(His) solution at pH 7.3
(Ref. 162) 2.058 2.24 37 561
Cu(His) solution at pH 3.8
(Ref. 159) 2.06 2.31 - 507
A hexacoordination of the metal site is typically assumed (Fig. 43C)
for aqueous transition-metal complexes of NTA, which involves the
ligation of three carboxyl groups, an amine group and two water
molecules. Although no structural data are available, a similar binding
mode is proposed for the interaction between a polyhistidine tag and
metal-NTA chelates. The crystal structure of a bisimidazole complexed to
CuII and NTA shows a five-coordinate square pyramidal structure, with
one protonated carboxyl group, two imidazoles and two carboxy groups of
NTA equatorially ligated, and a weak axial coordination of the NTA amine
group.23 Therefore pulsed EPR experiments were performed to verify this
structure. The low-frequency area of the HYSCORE spectrum of a
Cu(OTf)2:NTA (1:5) mixture exhibits no cross peaks from a weakly
coupled 14N nucleus as expected when amine nitrogen atoms binds
axially to copper. The Mims ENDOR spectra (Fig. 49) and the 1H
HYSCORE spectra, taken at different magnetic field positions, show
maximum 1H hyperfine couplings of 7 to 9 MHz.
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98
Fig. 49 Mims-ENDOR of Cu(OTf)2:NTA mixture of 1:5 ratio in frozen water
solution recorded (a) at B0 = 344.8 mT (observer position corresponding to g ≈ gx,y),
and (b) at B0 = 303.0 mT (observer position corresponding to g = gz, MI = -1/2).
Reprinted with permission from Ref. 55. Copyright 2012 American Chemical
Society.
This is in accordance with the findings for [Cu(H2O)6]2+ in frozen
water164 and in Mg(NH4)2(SO2)4.6H2O crystals165 and corroborate with the
equatorial water ligation in the CuII-NTA complex. The large proton
coupling is not likely to be caused by the NTA protons, as their far
distance from the copper site would result in smaller hyperfine couplings.
Davies ENDOR spectroscopy was used to probe the interactions with
directly coordinated nitrogen atoms. A value of ~25 MHz for the z-
component of the hyperfine interaction of the amine nitrogen was
obtained, confirming an equatorial ligation of this amine.
A low-frequency HYSCORE spectrum was obtained by adding His6-
tags to a Cu(OTf)2:NTA mixture, which shows contributions of a weakly
coupled 14N nucleus (Fig. 50A) simulated by using the data in Table 3
(Fig. 50B). The obtained parameters resemble the reported values for
the remote imidazole nitrogen in CuII-bound imidazole complexes166 and
CuII-bound histidine complexes.159,161,167,168 This underlines the His6-
Engineering artificial organelles
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peptides binding, seen in CW-EPR measurements. Furthermore, the
Mims ENDOR and HYSCORE spectra indicate a maximum proton
coupling of 5.8 MHz (Fig. 51). This corresponds to the known proton
hyperfine coupling value for the Hε proton of an equatorially ligated
histidine imidazole to be max. 5.4 MHz.162 Therefore, the water,
equatorially ligated to copper centre, is substituted with His residues.
Fig. 50 A) X-band HYSCORE spectrum of a frozen solution of
Cu(OTf)2:NTA:His6-peptide mixture at a 1:5:50 ratio taken at 5 K; B) Simulation of
A) using the parameters from Table 3. The observer position is 335.0 mT, τ = 104
ns. Reprinted with permission from Ref. 55. Copyright 2012 American Chemical
Society.
P. Tanner
100
Table 3 Comparison between the experimental 14
N spin Hamiltonian parameters
derived from the HYSCORE spectra for His6-tag ligation and the CuII
-NTA
functionalised vesicles and the CuII
-NTA complexes.
A/MHz e2qQ/h/MHz h
CuII vesicles with
His6 ± 1.9 (± 0.3) ± 1.5 (± 0.1) 0.95 (± 0.10)
Cu(OTf)2:NTA:His6
(1:5:50) ± 1.7 (± 0.3) ± 1.5 (± 0.1) 0.90 (± 0.10)
Cu(His) (Ref. 107) 1.4 -1.43 0.95
The pulsed EPR analysis described here allowed to assess the effect
of His6-tag addition to CuII-NTA functionalised polymersomes. Only a
weak spin echo signal of a frozen solution containing the polymersomes
without peptide was obtained and no pulsed EPR experiments could be
performed in agreement with the CW-EPR spectrum (Fig. 48a).
Fig. 51 1H Mims-ENDOR spectrum of a frozen solution of Cu(OTf)2 with NTA and
His6-peptide mixture taken at 5 K at the field position B0 = 334.0 mT, τ = 120 ns. A
maximum 1H hyperfine coupling of 5.8 MHz is observed. Reprinted with permission
from Ref. 55. Copyright 2012 American Chemical Society.
After the addition of the His6-peptide, the echo intensity improved,
which could be explained by the peptide acting as a spacer between the
CuII sites on the polymersome surface, thereby reducing the dipolar
Engineering artificial organelles
101
interaction between these sites. Nevertheless, a low echo intensity was
still observed so that ESEEM or ENDOR experiments could only be
performed at the position of highest echo intensity (corresponding to the
observer position g = gx,y). This is shown in the 14N HYSCORE spectrum
(Fig. 52A) with its corresponding simulation (Fig. 52B) using the given
data in Table 3. The data confirms a binding of the His6-tags to the copper
site, as the parameters match with data, which is expected for the remote
nitrogen of a His ligand. In addition, Mims-ENDOR experiments arrived to
the same conclusion and are against an equatorial H2O ligation.
Fig. 52 A) X-band HYSCORE spectrum of a frozen solution of CuII
-NTA-
functionalised vesicles with His6-peptide at a 1:50 ratio taken at 5 K; B) Simulation
of a) using the parameters from Table 3. The observer position is 338.8 mT, τ = 120
ns. Reprinted with permission from Ref. 55. Copyright 2012 American Chemical
Society.
Combining all data, EPR analysis of the aqueous CuII-NTA- and the
CuII-NTA-His6 complexes clearly shows the existence of type-II copper
complexes. Pulsed EPR and ENDOR data clarified that the copper ion is
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102
equatorially bound to at least one water molecule and to the NTA amine
nitrogen. This is different from the observation of the X-ray structure of
copper(II)-nitrilotriacetic acid-bis(N-methylimidazol-2-yl)ketone ternary
complexes where the NTA amine is in an axial position.169 In this case, it
is reasonable that a flat bis-imidazole complex may be the cause of this
different configuration.
Upon addition of His6-tags to copper-trisNTA functionalised
polymersomes, the equatorial water is replaced by His residues, as
clearly shown by HYSCORE and ENDOR data. This is further
corroborated by pulsed EPR data, which confirms an equatorial ligation of
the imidazole(s) of His6-tags attached to the CuII-NTA moieties on the
surface of polymeric vesicles.
Incubation of His6-tags to the polymersomes provoked the formation of
two different type-II copper sites (Table 2) as established from CW-EPR.
Their principal g and copper hyperfine values significantly differ from
those observed for the Cu(OTf)2:NTA:His6-peptide mixture. This could
suggest that the surrounding structure influenced the local copper
complex structure. Hence, the gz value of CuII-PB39-PEO36-SA-trisNTA.d
is also lower than that observed for the aqueous copper NTA complex.
The EPR parameters of the vesicle/His6-tag mixture resemble the values
obtained for copper histidine complexes at neutral pH,162 while the
parameters of the Cu(OTf)2:NTA:His6-peptide mixture were comparable to
those of the copper-histidine complexes at pH 3.82.102 The copper-
histidine ligation difference at different pH values originates form the
number of His residues and corresponding amine groups ligating to the
copper centre.
DFT computations complemented these observations. While it is
known that DFT cannot exactly reproduce EPR parameters of transition-
metal complexes in means of underestimated g values and dissatisfying
Engineering artificial organelles
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transition-metal hyperfine values yet, the computations can be still used
to estimate general trends and hyperfine values of the ligand nuclei.170
Therefore, the EPR parameters of three models were computed using
DFT (Fig. 53A, B and C). The effect of the exchange of water by His
residues was simulated and the impact of the overall charge of the
complex on the EPR parameters was evaluated. In model A, one NTA
and two water molecules are ligated to the copper site, while models B
and C includes the ligation of one NTA and a bis-imidazole molecule with
a peptide-like linker. While in model C all carboxy groups are
deprotonated, models A and B have one protonated carboxy group. All
structures were optimised in terms of their overall lowest energy state via
geometry optimisation using different starting geometries. The
corresponding coordinates of the models are given in the Appendix. The
DFT results are presented in Table 4 and the corresponding spin density
distributions (Fig. 54 – Fig. 56) are shown in the Appendix. The computed
parameters of models A and B reproduce different experimentally
observed trends: Both typically have a quasi-axial g tensor, characteristic
of type-II complexes with the copper in a dx2-y2 ground state. The
computations confirm for model A, the aqueous CuII-NTA model, the
experimental observation of the NTA amine nitrogen located in the
equatorial plane (i.e. plane determined by dx2-y2) located NTA amine
nitrogen and bearing a considerable amount of spin density. The
computed z-component of this hyperfine interaction (27 MHz) resembles
to the experimental value (25 MHz). Also, the computed maximum
hyperfine interactions (absolute value) of equatorially ligated water
protons (10.7 MHz) is in the same order of magnitude as the experimental
values (9 MHz).
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Fig. 53 DFT-optimised structures of the three models. Model A:
[Cu(N(CH2COO)2(CH2COOH))(H2O)2]; Model B:
[Cu(N(CH2COO)2(CH2COOH))(C11H15N5O)]; Model C:
[Cu(N(CH2COO)3)(C11H15N5O)]-. Reprinted with permission from Ref. 55.
Copyright 2012 American Chemical Society.
Following the experimental trend of computed maximum proton
hyperfine couplings, the value for model B (His residues) are smaller (6.4
MHz). Indeed, the hyperfine values of the remote nitrogen atoms are
around 1.5 – 2.2 MHz. In agreement to the experimental results, gz
decreases upon attachment of the His residues and the copper |Az|
values are similar for both models A and B. To conclude, these results
agree with the experimental trends and confirm the EPR parameters,
which indicates that addition of His6-tags to Cu(OTf)2:NTA is entirely due
to the replacement of the equatorial water by His residues.
In a next step, protonation effects of the NTA carboxyl groups are
studied by comparing model B (one protonated carboxyl group) and
model C (no protonation of the carboxyl groups). Deprotonation of the
third carboxyl group caused an increase of the gz value and the g tensor
to become rhombic. The copper |Az| value and the NTA amine nitrogen
hyperfine coupling are reduced considerably, while the rest of the ligand
hyperfine values are less affected ranging in the order of the experimental
errors. Thus protonation could play a role in the different EPR parameters
of the Cu(OTf)2-NTA-His6 mixture and the polymersome-His6 systems.
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Similar hyperfine values were found in both systems for the protons and
the remote nitrogens of the His residues, which were also computed for
both models B and C. Lower gz (higher |Az| values) were seen for the
polymersome system compared to the Cu(OTf)2-NTA-His6 mixture.
Additionally, the copper |Az| values differ more between the two His6-
ligated systems than between Cu(OTf)2-NTA and Cu(OTf)2-NTA-His6. A
similar trend is also observed for a higher copper |Az| value difference
between models B and C compared to models A and B. These results
suggest that the NTA carboxy groups on the polymersome system are
protonated, probably induced by polymersome surface properties. The
presence of two different copper complexes in the polymersome system
could result from changes in the number or orientation of the His ligands.
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Table 4 Computed principal g and hyperfine values for models A-C (Fig. 53).
gx gy gz
Model A 2.067 2.075 2.210
Model B 2.059 2.061 2.193
Model C 2.038 2.099 2.202
nucleus Ax [MHz] Ay [MHz] Az [MHz]
Model A Cu
N(NTA)
H (H2O)a
69
27
-10.8
77
45
6.2
-522
27
-5.4
Model B Cu
N(NTA)
N1(His)b
N2(His)c
H (His)a
49
27
44
1.7
6.4
76
41
36
2.3
-0.4
-533
27
35
1.6
0.1
Model C Cu
N(NTA)
N1(His)b
N2(His)c
H (His)a
173
20
42
1.6
5.9
-3
33
34
2.2
-0.3
-495
20
33
1.6
0.2
aData for the proton with the largest hyperfine coupling (in absolute value), bAverage of
computed hyperfine values of copper bound His nitrogens; cAverage of computed hyperfine
values for remote His nitrogen atoms.
4.5. Conclusion
The CuII-trisNTA-functionalised PB-b-PEO polymersomes are well
suited to study molecular recognition process of peptide binding. As
peptides, we used a model system of an oligohistidine sequence
consisting of six histidines – a His6-tag – to study their binding to copper
centres on the polymersome surface. Upon binding, a detailed structural
view of the rearrangement of the metal coordination sphere was obtained.
Qualitative binding analysis revealed that more than 200 fluorescently
labelled His6-tags were bound to one polymersome. This was visualised
by fluorescence laser-scanning microscopy as a highly intense
fluorescent corona surrounding the metal-functionalised polymersomes.
FCS measurements revealed that this system has a high binding affinity,
which was found to be higher than of similar systems using His-tagged
Engineering artificial organelles
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proteins.21,23 Different EPR and ENDOR methods were used to
investigate the electronic and geometric change of the copper centre
complexed in the NTA pocket upon binding of the model His6-tags. His6-
tag binding was demonstrated via the typical HYSCORE signature of the
remote nitrogen of the imidazole ligand of the residue, and by the
reduction of the proton hyperfine coupling using EPR and DFT data from
model systems. As expected from other experiments, these findings
confirmed the strong and selective binding. The highly specific binding
capacity of the copper-functionalised PB-b-PEO polymersomes together
with a simple preparation procedure and inherent high structural stability
make the system very suited for a wide range of applications such as
protein crystallisation, targeting approaches or immobilisation on solid
supports.
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5. Overall conclusion
We designed and developed protein-polymer assemblies to engineer
artificial organelles. The development required to study three key aspects
in order to increase the overall efficacy of the artificial organelles: i)
increased efficacy by means of optimised building blocks, ii) introduction
of specific membrane permeability by the use of selective ion-channels
and iii) applying specific recognition points by the use of a molecular
recognition strategy:
i) Combination of natural occurring antioxidant enzymes with synthetic
block copolymers, which are able to self-assemble into polymersomes,
allowed engineering of artificial peroxisomes (APs). They can support
natural peroxisomes and help the cellular antioxidant defence mechanism
in general to combat oxidative stress. As active compounds, SOD and
LPO or CAT were used in complex, optimised conditions, which detoxify
in tandem superoxide radicals in situ via hydrogen peroxide to harmless
products. These APs were able to be taken up by cells and function as
specific artificial organelles, opening a new direction in medical therapy.
The polymersome properties were optimised by means of high
encapsulation efficiency in order to allow enhanced cascade reactions
and to mimic the morphology and functions of natural peroxisomes.
Enzymatic activity is preserved over time even longer than in solution,
making this hybrid system not only suitable for therapeutic applications,
but also for technical applications such as biosensors. For the therapy of
oxidative stress, we were able to show that the APs escaped intact from
endo-lysosomes and were distributed within the cytoplasm, which is
important for properly functioning. In addition, viability measurements
revealed that the APs were non-toxic.
ii) In order to address the polymersome membrane permeability in
more detail, in addition to the incorporation of OmpF in triblock copolymer
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vesicles, diblock copolymer vesicles of 200 nanometres in diameter were
produced to encapsulate a pH sensitive dye, pyranine. This system was
used in order to prove the membrane incorporation of gramicidin. The
successful accomplishment of the ion-channel incorporation is an
important step towards the design of pH-triggerable nanoreactors and
artificial organelles, where the activity of the protected active compounds
can be activated or deactivated via specific ion-channels “on demand”.
iii) Next to the controlled activity, the site specific action of the active
compound is also important. To address this challenge, CuII-trisNTA-
functionalised PB-b-PEO polymersomes were used to study molecular
recognition process of specific peptide binding. A model system of an
oligohistidine sequence consisting of six histidines – a His6-tag – was
used to study their binding to copper centres on the polymersome
surface. Upon binding, a detailed structural view of the rearrangement of
the metal coordination sphere was obtained. More than 200 fluorescently
labelled His6-tags were bound to one polymersome, proving efficient
binding. The system was also characterised by a high binding affinity.
Different EPR and ENDOR methods were used to investigate the
electronic and geometric change of the copper centre complexed in the
NTA pocket upon binding of the model His6-tags. These experiments, as
well as DFT computations, confirmed strong and specific binding. This
detailed knowledge about the molecular recognition behaviour of the
system and the simple preparation procedure allows to further engineer
specific artificial organelles with site-specific action capabilities.
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6. Experimental section
Materials
Cu/Zn-superoxide dismutase (Cu/Zn-SOD) from bovine erythrocytes
(>3,000 U/mg), lactoperoxidase (LPO) from bovine milk (>200 U/mg),
catalase (CAT) from bovine liver (≥10,000 units/mg), xanthine oxidase
(XO) (microbial, 7 U/mg), xanthine (XA), sodium phosphate buffer (DPBS
1 x Dulbecco`s salts without calcium chloride and magnesium chloride,
pH 7.3), hydrogen peroxide, 30% (w/w)) and dimethyl sulphoxide (DMSO)
(>99.5%),were purchased from Sigma Aldrich and were used without any
further treatment. 10-acetyl-3,7-dihydroxyphenoxazine (amplex red),
AlexaFluor 488 carboxylic acid succinimidyl ester, and AlexaFluor-633
carboxylic acid succinimidyl ester were obtained from Molecular Probes
(Invitrogen) (Eugene, OR, USA) and were used as received. Dylight-488
carboxylic acid succinimidyl ester and dylight-633 carboxylic acid
succinimidyl ester were purchased from Thermo Fisher Scientific Inc.
(Rockford, IL, USA) and were used without further purification. Amplex
red stock solutions were prepared in DMSO (50 mM) and stored at -20
C°. N-Octyl-oligo-oxyethylene (OPOE) was purchased from Enzo Life
Sciences (Lausen, Switzerland). Hoechst and propidium iodide were
purchased from Invitrogen. An ROS detection kit from Enzolife,
polycarbonate membrane filters (Millipore), and sepharose 2B (Sigma
Aldrich) were used. RPMI-1640 cell culture medium (GIBCO), fetal calf
serum (FCS), penicillin and streptomycin (Sigma Aldrich) and PBS
(GIBCO) were used in the cell experiments. L-α-phosphatidylcholine,
gramicidin from bacillus brevis (a mixture of gramicidin A, B, C and D),
pyranine (8-Hydroxypyrene-1,3,6-trisulfonic acid trisodium salt), and acid
phosphatase were purchased from Sigma-Aldrich and used without
further purification. ELF97 phosphatase substrate was purchased from
Invitrogen. 2-(6-chloro-1H-benzotriazole-1-yl)-1,1,3,3-tetramethylaminium
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hexafluorophosphate (HCTU) and rink amide AM resin (0.61mmol/g)
were purchased from IRIS Biotech GmbH, Marktredwitz, Germany. The
amino acids (N-α-t.-Boc-L-histidine) were obtained from Novabiochem,
Läufelfingen, Switzerland. Sulphorhodamie B acid chloride (λex: 560 nm,
λem: 580 nm) and copper(II)triflate was purchased from Sigma-Aldrich,
Buchs, Switzerland. Dichlormethane was provided by Brenntag
Schweizerhall AG, Basel, Switzerland, dimethylformamide (DMF) by J. T.
Baker and acetonitrile (ACN) by Fischer Scientific. DMF was treated with
aluminium oxide to reduce the concentration of free amines prior to
application in peptide synthesis.
Methods used for the design of antioxidant nanoreactors/artificial
peroxisomes
Outer membrane protein F production
OmpF expression was carried out in E. coli (BL21 (DE3)omp8)72
according to a previously optimised protocol53 and the product was stored
at 700 µg/mL with 3 wt% OPOE stock solution at 4 C°.
Fluorescence labelling of SOD, LPO and CAT
SOD was labelled with AlexaFluor-488 carboxylic acid succinimidyl
ester, LPO was labelled with AlexaFluor-633 or dylight-633 carboxylic
acid succinimidyl ester and CAT was labelled with dylight-488 carboxylic
acid succinimidyl ester following the protocol provided by Invitrogen
(www.invitrogen.com). The solutions containing labelled enzyme were
filtered through a 0.22 μm Millex low protein-binding Durapore membrane
(Millipore, Billerica, MA, USA) and separated by fast protein liquid
chromatography (FPLC) on a Sephadex G25 (Aldrich) column
equilibrated with phosphate-buffered saline buffer (PBS). The
concentration of labelled enzyme and the degree of labelling was
determined by dual wavelength FPLC (Äkta FPLC, GE Healthcare
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Europe GmbH, Glattbrugg, Switzerland) or by UV/VIS. After the labelling
and purification procedure, 209.56 µM of labelled SOD, 4.45 µM of
labelled LPO and 20 µM of labelled CAT were obtained.
PMOXA-PDMS-PMOXA vesicles preparation
Synthesis and characterisation of ABA triblock copolymer PMOXAn-
PDMSm-PMOXAn (n = 12 and m = 55) has been described previously.53
Vesicles were prepared at room temperature by drop-wise addition of
PBS to ABA copolymer under continuous stirring, obtaining a 5 mg/mL
polymer concentration. The aqueous polymer solution was extruded with
an Avanti mini-extruder (Avanti Polar Lipids, Alabama, USA) through a
400 nm diameter pore-size polycarbonate (PC) membrane (one time),
and through a 200 nm pore-size PC membrane (11 times) in order to
reduce size polydispersity of the vesicles.
Preparation of nanovesicles containing individual enzyme types and
SOD/LPO (or SOD/CAT) containing artificial peroxisomes
To encapsulate an individual enzyme type in vesicles, a solution of
SOD, LPO or CAT (in concentrations between 0.1 – 0.83 mg/mL) were
mixed with a solution of ABA block copolymer, followed by the
preparation steps described above. A mixture of SOD and LPO at
different ratios in PBS was added drop-wise to the ABA polymer solution
to encapsulate both enzymes simultaneously. When required, channel
protein68 was simultaneously incorporated by drop-wise addition of the
OmpF porin stock solution to the enzyme(s)-ABA copolymer mixture with
continuous stirring to reach a final concentration of 50 µg/mL OmpF. Non-
encapsulated enzymes were separated from vesicles by 48 hour dialysis
(Spectrapore dialysis tube, mean width cut-off size: 300 kDa, Spectrum
Laboratories Inc.), exchanging dialysis PBS buffer after 24 hours.
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Transmission electron microscopy (TEM)
Empty vesicles, vesicles containing a single-enzyme constituent, SOD-
AlexaFluor-488, LPO-AlexaFluor-633 or CAT-dylight-488, vesicles
containing co-encapsulated SOD-AlexaFluor-488 and LPO-AlexaFluor-
633 and cell-samples were negatively stained with 2% uranyl acetate
solution and deposited on carbon-coated copper grids. Vesicle samples
were studied using a transmission electron microscope (Philips Morgagni
268D) at 293 K.
Light scattering (LS)
Dynamic (DLS) and static (SLS) light-scattering experiments were
performed on an ALV (Langen, Germany) goniometer, equipped with an
ALV He-Ne laser (JDS Uniphase, wavelength λ = 632.8 nm). Vesicles
dispersions were prepared by serial dilution to polymer concentrations
ranging from 2.5 to 0.05 g/L. Light scattering was measured in 10 mm
cylindrical quartz cells at angles of 40 − 150° at 293 ± 0.5 K. The
refractive index increment ∂n/∂C of the vesicle dispersions was
determined to 0.16 0.02 mL/g at 632.8 nm with an ALV-DR1 differential
refractometer. The photon intensity auto-correlation function g2(t) was
determined with an ALV-5000E correlator (scattering angles between 40°
and 150°). DLS data were analysed via non-linear decay-time analysis
supported by regularized inverse Laplace transform of g2(t) (CONTIN
algorithm). The angle-dependent apparent diffusion coefficient was
extrapolated to zero momentum transfer (q²) using ALV Correlator
software static and dynamic FIT and PLOT 4.31. Angle and
concentration-dependent SLS data were analysed using a Guinier plots
approach.
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Fluorescence correlation spectroscopy (FCS) and fluorescence cross-
correlation spectroscopy (FCCS)
FCS and FCCS measurements were performed at room temperature
on a Zeiss LSM 510-META/Confcor2 laser-scanning microscope
equipped with an argon2-laser (488 nm), a helium/neon laser (633 nm)
and a 40× water-immersion objective (Zeiss C/Apochromat 40X, NA 1.2)
or a 63x water emulsion lens (Olympus). The pinhole was adjusted to 70
µm, and 90 µm, respectively. For each measurement, 10 μL of sample
solution, containing either free dye AlexaFluor-488 or AlexaFluor-633 or
dylight-488 or dylight-633, each concentrated to 50 nM, or containing an
enzyme- (or combined enzyme-) encapsulated vesicle solution used
directly after the purification step, were placed in special, chambered
quartz glass holders (Lab-Tek; 8-well, NUNC A/S). For FCS, spectra were
recorded over 30 s, and each measurement was repeated 10 times.
Excitation power of the argon2 laser was PL = 15 mW, and the excitation
transmission at 488 nm was 5%. Excitation power of the helium/neon
laser was PL = 5 mW, and excitation transmission at 633 nm was 1%.
Diffusion times for free dye (AlexaFluor-488, AlexaFluor-633, dylight-488
and dylight-633) as well as for labelled SOD, labelled LPO and labelled
CAT were independently determined and fixed in the fitting procedure.
The results were presented as a mean value of three independent
measurements. For the fitting of the autocorrelation function according to
a two-component model, the following equation 8 was used:
(8)
where,
N: number of fluorescent particles
S: structural parameter
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τD1: diffusion time of the component 1 in the assay.
1-Y: fraction of particles with diffusion time τD1
τD2: diffusion time of component 2 in the assay.
Y: fraction of particles with diffusion time τD2
f(T): function used for fitting the tripled characteristics τT and %
τT of the fluorescent label within the assay.
By means of an iterative least-square method, the values calculated
by the algorithm are compared repeatedly to the experimentally
generated autocorrelation curve and approximated until the difference
between the two curves is minimised.
FCCS measurements were performed on the same instrument in the
FCCS mode. Overlap of the confocal volumes was ensured in each
channel by optimising pinhole settings in each measurement channel and
performing calibration measurements. Cross-talk was measured
independently in each detection channel to exclude false-positive cross-
correlation.171 The fraction of co-encapsulated enzymes (R) can be
estimated by the formula (equation 9):
(9)
where Rg is the relative autocorrelation amplitude of the green channel,
Rr: relative autocorrelation amplitude of the red channel, and
Rcc: the relative amplitude of the cross-correlation.
The theoretical fraction of co-encapsulated enzymes, P, in the
hypothesis of independent event probabilities p1 (fraction of encapsulated
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SOD) and p2 (fraction of encapsulated LPO) can be estimated by the
formula (equation 10):
(10)
Individual enzyme types activity assay
LPO and CAT kinetics in solution or in nanovesicles were studied with
a PerkinElmer LS55 fluorescence spectrometer (Waltham,
Massachusetts, USA) at ambient temperature. Free LPO kinetics was
tracked using a gradient of H2O2 and amplex red as follows:
concentrations from 0.3 μM to 2.4 µM H2O2, 5 nM LPO solution in PBS
buffer and concentrations from 0.47 M to 3.75 μM amplex red. The
kinetics of LPO in nanovesicles were followed immediately after mixing
H2O2 (1.09 – 5.86 μM) with a 50-fold diluted LPO-containing nanovesicle
solution and the addition of amplex red (0.18 – 1 M).
The solutions were mixed in a quartz cuvette and the fluorescence
intensity of resorufin (ex = 530 nm, em = 580 nm), as the reaction
product, was recorded.
CAT activity was compared to LPO activity by a competition reaction
as presented in Scheme 1.
Scheme 1 CAT activity assay. Reprinted with permission from Ref. 78. Copyright
2013 American Chemical Society.
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Multi-enzyme activity assay
The cascade reaction of SOD and LPO in tandem was followed in free
solution or in nanovesicles by fluorescence spectroscopy using the set-up
of FCS. Activity tests of free SOD and LPO in sequence were performed
by mixing SOD (0.2 nM - 66 µM) with LPO (0.016 - 1µM) in different
concentration domains and in the presence of amplex red (9 µM) with
various amounts of xanthine (2 µM – 25 μM). The cascade reaction was
started by the addition of xanthine oxidase (0.002 − 0.17 U/mL), with the
concentrations adjusted to not short circuit SOD due to generation of
H2O2 by the xanthine-xanthine oxidase system. Resorufin formation was
followed as count rate (kHz).
Activity tests of SOD/LPO co-encapsulated vesicles were carried out
by mixing 10 µL SOD-LPO-containing nanovesicle solution with amplex
red (23.8 µM), and xanthine (35.71 µM) to a final volume of 210 μL. The
cascade reaction was started by the addition of xanthine oxidase
(0.24 U/mL).
Cell experiments
HeLa cells were cultured and maintained in Modified Eagle's Medium
(DMEM) supplemented with high glucose, 10% fetal calf serum, 1%
penicillin (10`000 units/mL) and streptomycin (10`000 mg/mL) (purchased
from Sigma Aldrich), 2 mM L-glutamine and 1 mM pyruvate. Cells were
grown in a humidified incubator (HERA Cell 150, Thermo Scientific,
Germany) at 37 °C in a 5% CO2 atmosphere until a confluence of 60 –
80% was achieved, and then harvested by trypsin-EDTA.
Cytotoxicity of the vesicles and APs
Cells were cultured in a 96-well plate at a density of 2 x 104 cells/well,
and incubated with 100 µL of DMEM growth medium per well for 24 h.
Different concentrations of empty polymer vesicles and enzyme-loaded
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polymer vesicles were added to different wells and incubated with cells
for a period of time (24 and 48 h). Subsequently, 20 µL of CellTiter® 96
Aqueous One Solution Cell Proliferation Assay (MTS) reagent (Promega)
were added to each well and then incubated for a further 2 h. The
absorbance of each well mixture was measured with a Spectromax M5e
microplate reader (Molecular Devices) at 490 nm.
Cell uptake of APs
HeLa cells were cultured in a 6-well plate at different densities of cells
per well (1 x 105 for CLSM, 2 x 105 for flow cytometry analysis, and 1 x
106 for TEM) in DMEM medium and incubated with enzyme-loaded
polymer vesicle solution at different time intervals (2-, 4-, 8-, 18-, 24 h) at
37 °C in a humidified CO2 incubator. For flow cytometry analysis, cells
incubated with a solution of enzyme-loaded polymer vesicles were
washed with PBS to remove free enzyme-containing vesicles and
quantitatively analysed for rate of uptake of enzyme-containing vesicles
with a flow cytometry set-up (CYAN, BD biosciences). A total of 10,000
events were analysed for each condition.
Study of APs escape from endosome
HeLa cells pre-incubated with a polymer vesicle solution containing co-
encapsulated SOD and LPO were fixed with a solution of 3%
paraformaldehyde in PBS, and 0.5% glutaraldehyde in PBS containing
1.5% saccharose (pH 7.3), and then post-fixed in 0.5% aqueous osmium
tetroxide. The samples were then dehydrated using a graded series of
ethanol solutions, block-stained in 6% of uranyl acetate and embedded in
LR white resin (Sigma Aldrich). Ultra-thin sections were contrasted with
0.3% lead citrate and imaged with TEM.
For CLSM visualisation, the HeLa cell culture was first treated with
enzyme-loaded polymer vesicles (100 μg/mL) for 4 h, followed by
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treatment with pH-rodo™ Red dextran (20 μg/mL) for a further 20 min at
37 °C following the supplier's protocol. The cells were rapidly washed with
PBS and prepared for imaging.
Cellular ROS detoxification by APs
HeLa cells were treated with paraquat to induce oxidative stress and
analysed by flow cytometry (CYAN, BD Biosciences). HeLa cells at a
density of 1 x 105 plated in a 6-well plate were first incubated with
enzyme-loaded polymer vesicles (500 µg/mL) for 24 h, and subsequently
with paraquat (2 mM) for a further 24 h at 37 °C in a 5% CO2 atmosphere.
Cells were washed with PBS buffer and stained with propidium iodide (PI,
50 mg/mL) to determine cell viability. A total of 10,000 events were
analysed for each condition. To analyse the ROS detoxification kinetics of
artificial peroxisomes in live cells, HeLa cells were seeded at 4 x 103
cells/well in a 96-well plate incubated overnight for cell attachment,
followed by incubation with APs vesicles for 8 h. Afterwards, cells were
treated with ROS/superoxide detection mix from Enzolife’s
ROS/superoxide detection kit for 1 h. Cells were then incubated with
pyocyanin (300 µM) to induce ROS generation in the cells. ROS
detoxification kinetics was measured with a Spectromax M5e microplate
reader (Molecular Devices) in the kinetic mode with a 550/620 nm filter
set.
Methods used for the design of pH-triggered nanoreactors
PMOXA-PDMS and L-α-phosphatidylcholine vesicles preparation and
encapsulation of the pH-sensitive dye (pyranine)
PMOXA14-PDMS65 was used to prepare vesicles at room temperature
by using the film hydration method obtaining a 5 mg/mL polymer
concentration. The direct dissolution method was used for the preparation
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of vesicles based on L-α-phosphatidylcholine. In order to encapsulate the
pH-sensitive dye pyranine, the polymer film or the lipids were hydrated
using pyranine dissolved in PBS at a concentration of 50 mM. The
aqueous polymer solution and liposome solution were extruded with an
Avanti mini-extruder (Avanti Polar Lipids, Alabama, USA) through a
400 nm diameter pore-size polycarbonate (PC) membrane (one time),
and through a 200 nm pore-size PC membrane (11 times) in order to
reduce size polydispersity of the vesicles.
Measurements of gramicidin incorporation by monitoring pH change inside
vesicles and design of pH-sensitive nanoreactors
Functional gramicidin ion-channel formation in the liposome or
polymersome membrane was measured by using a PerkinElmer
fluorescence spectrometer LS55 (Waltham, Massachusetts, USA) in the
time driven mode. Pyranine encapsulated polymersomes were diluted
1:300. A pH change was monitored during addition of HCL to lower the
pH from pH 8.3 to 5. The effect of subsequent addition of a low amounts
of gramicidin (dissolved in different suitable solvents such as dimethyl
sulphoxide (DMSO), trifluoroethanol (TFE), dioxane, pyridine,
isoporpanol, decane and the mixtures DMSO:ethanol (DMSO:EtOH) in
the ratio 1:1 and the mixture TFE:DMSO:EtOH (2:1:1)) to yield
concentrations between 30 nM and 130 nM was compared in means of
the change of the fluorescence intensity of pyranine inside the vesicles to
the condition when the same amount of solvent was added and when no
further components were added. In order to characterise pH-sensitive
nanoreactors, simultaneously acid phosphatase (10 μM) and ELF97 (12.5
μM) were added during the vesicle formation process and purified as
described above. pH-dependent activity of acid phosphatase inside the
vesicles was measured using also the LS55 fluorescence spectrometer in
the time driven mode.
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Transmission electron microscopy (TEM)
Pyranine-encapsulated vesicles in condition of pHinside = pHoutside,
pHinside < pHoutside and after addition of gramicidin were negatively stained
with 2% uranyl acetate solution and deposited on carbon-coated copper
grids. Vesicle samples were studied using a transmission electron
microscope (Philips Morgagni 268D) at 293 K.
Light scattering (LS)
Dynamic (DLS) experiments were performed on an ALV (Langen,
Germany) goniometer, equipped with an ALV He-Ne laser (JDS
Uniphase, wavelength λ = 632.8 nm). Light scattering was measured in
10 mm cylindrical quartz cells at a fixed angle of 90° at 293 ± 0.5 K for
comparison of the effects of pH change and gramicidin incorporation in
the polymersome membrane. The photon intensity auto-correlation
function g2(t) was determined with an ALV-5000E correlator. DLS data
were analysed via non-linear decay-time analysis supported by
regularized inverse Laplace transform of g2(t) (CONTIN algorithm).
Methods used for study molecular interaction of metal-functionalised
polymersomes with His-tags
Polymers
Synthesis and characterisation of the diblock copolymer PB39-b-PEO36
was described previously.21 A mixture of PB39-b-PEO36-SA-OH containing
10% PB39-b-PEO36-SA-trisNTA.d-Cu2+ was used for all experiments. The
diblock copolymer is functionalised with trisNTA a variant of NTA and
complexed with Cu2+ ions. The non-functionalised diblock copolymer was
characterised at a molecular mass of 3530 g/mol, which increased to
3690 g/mol upon functionalisation with trisNTA. Both block copolymers
have a low polydispersity index.21
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Peptide synthesis and fluorescent labelling
The peptides were synthesised on a Syro I Peptide Synthesiser
(MulitSynTech GmbH, Witten, Germany) using solid phase synthesis with
an Fmoc-strategy. HCTU as the coupling reagent, with N-ethyldi-
isopropylamine (DIPEA) dissolved in N-methyl-2-pyrrolidone (NMP) and
used as the base to couple a-N-Fmoc-protected amino acids to the rink
amide resin. For elongation, Fmoc-His-OH (0.5 mol/L, 4 equiv.), HCTU
(0.5 mol/L, 4 equiv.) dissolved in DMF, and DIPEA (12 equiv.) were
added to the resin. The mixture was agitated for 1 h and washed with
DMF (3 x 3 mL). Fmoc deprotection was performed with 20% piperidine in
DMF followed by 3 min agitation, draining, and repetition of deprotection
for 10 min. Resin was subsequently washed with DMF (5x3 mL).
Acetylation of unreacted amine groups was performed following each
coupling with a solution of acetic anhydride/DIPEA (3 mol/L, 5 equiv.) in
DMF. After synthesis, the peptide resin was alternately washed with DMF
(3 x 6 mL), isopropanol (3 x 6 mL), and dichloromethane (3 x 6 mL), and
then dried under vacuum.
The coupling of the dye to the N-terminus was performed on peptide
still bound to the solid phase. A DMF solution of carboxylic-acid-
succinimidyl-ester-activated dye (sulphorhodamine B) was added to the
peptide. Uncoupled dye was washed away alternating with DMF (3 x
6 mL), isopropanol (3 x 6 mL), and dichloromethane (3 x 6 mL).
Cleavage of the peptide from the resin and removal of its protective
groups was performed with a mixture of 95% trifluoroacetic acid (TFA),
2.5% tri-isopropylsilane, and 2.5% H2O. The resin was additionally
washed two times with this mixture (2 mL) and the peptide was
precipitated in 40 mL cold di-isopropylether (IPE). The precipitated
peptide was washed three times with cold IPE by centrifugation and
decantation, before being dried under vacuum.
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Peptide purification and characterisation
Purification and analysis of the peptides were performed by HPLC
(Shimadzu Prominence 20A, Japan) on reverse phase (RP) columns
(Merck Chromolith, RP-18e, 100 mm x 10 mm and 100 mm x 4.6 mm).
The separation of the unlabelled peptide from labelled peptide yielded
sample purities higher than 95%. This was detected by absorption at
280 nm and 560 nm. Linear gradients of solvent A (ACN) and solvent B
(0.1% TFA, or 2% acetic acid in bidistilled water) were used.
The eluted sample was collected in fixed volume fractions, which were
subsequently analysed for purity and molecular weight using HPLC and
matrix-assisted laser desorption/ionisation time-of-flight mass
spectroscopy (MALDI-TOF-MS). MALDI-TOF-MS was performed for
mass confirmation with a Voyager-DETM System (Applied Biosystems,
USA) in positive reflector mode, an accelerating voltage of 25 kV, grid
voltage of 75% and 100 − 300 ns extraction delay time. Matrix (α-cyano-
4-hydroxycinnamic acid) sample mixtures were prepared using a solution
of ACN/0.1% TFA in bidistilled water on a 100-well gold plate. Fractions
with matching mass and exceeding 95% purity were pooled with
ammonia before neutralisation and then lyophilised. Products were stored
under argon at -18 °C.
PB-b-PEO vesicle preparation and His6-tag binding.
PB-b-PEO vesicles were prepared (800 µM) according to the film
rehydration method and contained 10% CuII-trisNTA functionalised PB-b-
PEO copolymer.21 His6-tags or sulphorhodamine B acid chloride labelled
His6-tags (s-His6-tags) were added to the vesicle solution at different
concentrations depending on the used measurement technique (see
below). The solutions were extruded with an Avanti mini-extruder (Avanti
Polar Lipids, Alabama, USA) through a 400 nm diameter pore-size
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polycarbonate (PC) membrane (one time), and through a 200 nm pore-
size PC membrane (11 times) in order to minimize nanovesicle size
distribution.
Dynamic and Static Light Scattering (DLS and SLS)
Light scattering experiments were performed on an ALV (Langen,
Germany) goniometer, equipped with an ALV He-Ne laser (JDS
Uniphase, wavelength = 632.8 nm). Vesicle dispersions were prepared
by serial dilution to polymer concentrations ranging from 0.7 to 0.1 g/L.
Light scattering was measured in 10 mm cylindrical quartz cells at angles
of 30 – 150° at 293 K ± 0.5 K. The photon intensity auto-correlation
function g(t) was determined with an ALV-5000E correlator (scattering
angles between 30° and 150°). DLS data were analysed via non-linear
decay-time analysis supported by regularized inverse Laplace transform
of g(t) (CONTIN algorithm). The angle-dependent apparent diffusion
coefficient was extrapolated to zero momentum transfer (q²) using ALV
Correlator software static and dynamic FIT and PLOT 4.31.
Transmission electron microscopy (TEM)
TEM images were taken using a transmission electron microscope
(Philips Morgagni 268D) operated at 80 keV. The vesicle samples diluted
to a final polymer concentration of 8 µM were negatively stained with 2%
uranyl acetate solution for 10 s and deposited on carbon-coated copper
grids in order to perform the measurement.
Confocal laser-scanning micorscopy (CLSM)
PB-b-PEO vesicles were prepared (800 µM) as mentioned above and
were incubated with fluorescently labelled His6-tags (s-His6-tags) (1 µM)
for 5 min at room temperature. The solution was dialyzed for 24 h with a
Spectrapore dialysis tube (mean width cut-off size: 300 kDa, Spectrum
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Laboratories Inc.) to separate non-bound s-His6-tags from vesicles. This
solution was investigated at room temperature in special chambered
quartz glass holders with a confocal laser-scanning microscope (Zeiss
LSM 510-META/Confcor2), in LSM mode, using a Helium/Neon laser
(543 nm) and a 63× water-immersion objective (Zeiss C/Apochromat
63X, NA 1.2). HeNe laser excitation power was PL = 1 mW, and
excitation transmission at 543 nm was 20%.
Fluorescence Correlation Spectroscopy (FCS)
For FCS measurements, PB-b-PEO vesicle solutions with different CuII-
functionalised PB-b-PEO concentrations (ranging from 2 µM to 8 µM)
were prepared as mentioned above. The vesicle solutions containing
different amounts of copper were incubated with 50 nM s-His6-tags and
were immediately measured without dialyzing. FCS measurements were
performed at room temperature in special chambered quartz glass
holders (Lab-Tek; 8-well, NUNC A/S), on the Zeiss LSM 510-
META/Confcor2 laser-scanning microscope equipped with a HeNe laser
(543 nm) and a 40× water-immersion objective (Zeiss C/Apochromat 40X,
NA 1.2), with pinhole adjusted to 78 µm. Spectra were recorded over
30 s, and each measurement was repeated 10-times. The excitation
power of the HeNe laser was PL =1 mW, and the excitation transmission
at 543 nm was 10%. The structural parameter and diffusion times of the
free dye (sulforhodamine B acid chloride) and of the dye-labelled His6-
tags were independently determined and fixed in the fitting procedure.
These parameters were used to fit the autocorrelation curve of s-His6-tags
bound PB-b-PEO vesicles. The fluorescence signal was measured in real
time and the autocorrelation function was calculated by a software
correlator (LSM 510 META - ConfoCor 2 System). The results were
presented as a mean value of three independent measurements.
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X-band CW-EPR
Samples for X-band CW-EPR measurements were prepared similar to
FCS with the exception that an 800 µM vesicle solution was incubated
with 2.0 mM s-His6-tags. X-band CW-EPR measurements (microwave
(MW) frequency of about 9.44 GHz) were performed on a Bruker ESP
300E instrument, equipped with a liquid Helium cryostat (Oxford Inc.). A
MW power of 10 mW, a modulation frequency of 100 kHz and a
modulation amplitude of 0.5 mT were applied. All spectra were taken at
100 K and 10 K. The EasySpin program was utilized to simulate the CW-
EPR spectra.172
X-band pulsed EPR experiments were performed on a Bruker Elexsys
spectrometer (9.76 GHz), equipped with a helium-gas flow cryostat
(Oxford Inc.). The measurements were done at 4 K, with a repetition rate
of 1 kHz.
ENDOR experiments
The ENDOR experiments were performed using the MW pulse
sequence π – T – π/2 – – π – – echo, whereby a π radio-frequency (rf)
pulse is applied during time T. The following parameters were used: tπ =
48 (96) ns, tπ/2 = 24 (48) ns, T = 15 µs, trf = 13 µs and = 200 ns. The
Mims ENDOR experiments were performed with the MW pulse sequence
– π/2 – τ – π/2 – T – π/2 – τ – echo. The parameters used were: tπ/2 =
16 ns, T = 15 µs, trf = 13 µs. The spectra were recorded at = 104 ns.
HYSCORE
The standard HYSCORE experiments were performed using the π/2 – τ
– π/2 – t1 – π –t2 – π/2 – τ – echo sequence of pulses with tπ/2 = 16 ns
and tπ = 16 ns. The time intervals t1 and t2 were varied in steps of 16 ns.
In order to eliminate unwanted echoes, a four-step phase cycle was
applied. The time-domain HYSCORE spectra were base-line corrected
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with a third-order polynomial, apodized with a Hamming window and zero
filled. The absolute-value spectra, obtained after two-dimensional Fourier
transformation, were added to different τ values (104 ns, 120 ns, 176 ns)
to reduce the blind-spot effects. The HYSCORE spectra were simulated
using a program developed at ETH Zurich.173
DFT computations
Spin-restricted DFT computations were performed with the ORCA
package174-177 on different models for aqueous CuII-NTA and CuII-NTA-
His6-tag binding (see results and discussion sections). Geometry
optimisations were performed with the BP86 functional with an Ahlrich
split-valence plus polarization (SVP) basis set for all other atoms except
copper, for which a more polarized triple zeta valence basis set (TZVPP)
is used. The geometry optimisations were tested for different starting
geometries and the most stable geometry overall was chosen for further
computation of the EPR parameters. For the latter, the B3LYP functional
was taken, combined with the EPR-II basis set for nitrogen and hydrogen,
the ORCA basis set “Core Properties” (CP(PPP)) and SVP for all other
atoms. A dielectric surrounding with the dielectric constant of water was
simulated assuming the COSMO model in all computations.
Engineering artificial organelles
129
7. Appendix
Calculation of the encapsulation efficiency:
To determine maximum enzyme encapsulation efficiency based on the
number of encapsulated enzymes per vesicle, following equations were
used:
(11)
(12)
(13)
( ) (14)
Where, in equation 11, c is the enzyme concentration [gmol-1] used for
encapsulation and NA the Avogadro number. The reciprocal value of
equation 11 gives the apparent volume per particle Vapparent (equation 12).
The number of particles N*enzymes is derived by dividing the volume of the
polymer vesicles Vvesicle by the volume of apparent volume Vapparent,
representing the theoretical encapsulation of enzymes by one polymer
vesicle (equation 13). To calculate the encapsulation efficiency, EEv (%),
the number of particles determined by FCS brightness measurements,
N*exp, is divided by the theoretical value (equation 14).
P. Tanner
130
Coordinates of the used models for DFT and spin density distributions:
Model A: [Cu(N(CH2COO)2(CH2COOH))(H2O)2]
Fig. 54 Calculated spin density of model A. The contour levels are set at 0.0017 and
-0.0017, respectively. Blue represents positive spin density, while red represents
negative spin density.
Model A: Coordinates (in Å)
H 1.986319 -3.766505 -0.002538
H 1.048407 -5.276164 -0.082316
C 0.954631 -4.173606 0.006035
C 0.363875 -3.792742 1.372461
O -0.360862 -2.715521 1.387576
H 1.911532 -3.810738 -2.437720
H 0.545170 -2.868100 -3.101400
H -1.136889 -4.164111 -2.675405
H -0.208779 -5.532695 -1.986454
N 0.206808 -3.604295 -1.148356
Cu -0.780084 -1.904933 -0.339569
O -1.742134 -1.379114 -2.071862
O -1.564094 -0.255161 0.566701
C -0.729385 -4.584561 -1.732349
C 1.130284 -3.063877 -2.179103
C 1.798449 -1.725157 -1.756243
O 2.872735 -1.424390 -2.313065
O 1.144457 -1.027523 -0.904697
Engineering artificial organelles
131
C -1.943043 -4.877461 -0.858495
H -3.145692 -6.276150 -0.421447
O -2.310240 -6.163282 -0.933767
O -2.542502 -4.026354 -0.216120
O 0.638868 -4.455462 2.380576
H -2.597000 -0.945433 -1.865298
H -1.557722 -0.397582 1.537494
H -1.227656 -0.678462 -2.526009
H -0.959451 0.506383 0.438370
Model B: [Cu(N(CH2COO)2(CH2COOH))(C11H15N5O)]
Fig. 55 Calculated spin density of model B. The contour levels are set at 0.0017 and
-0.0017, respectively. Blue represents positive spin density, while red represents
negative spin density.
Model B: Coordinates (in Å)
O 0.602432 -4.366001 2.366477
C 0.350746 -3.697671 1.351770
O 1.322347 -1.035162 -1.016393
C 1.913262 -1.808572 -1.848316
H -4.370836 2.857339 -1.736942
H -4.326905 2.165665 -3.798643
O -0.303207 -2.579311 1.353159
H -1.394634 1.904801 -4.778039
H -2.787056 1.154668 -5.602032
C -2.401450 1.473803 -4.610637
H -0.173716 0.207722 -2.900534
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132
H -0.104274 1.294144 -0.635806
C -0.986255 1.165798 -0.000845
C -2.900475 -1.442676 -2.439612
Cu -0.678248 -1.780782 -0.419280
N -1.608280 -1.242648 -2.165215
N -1.393501 -0.085058 0.424616
C -1.199137 -0.172971 -2.944475
C -2.264897 0.291787 -3.699694
N -3.324982 -0.540675 -3.361746
H -4.270859 -0.505503 -3.752520
H -3.546140 -2.202240 -1.985470
C -2.478165 0.098388 1.179757
N -2.777760 1.424239 1.244256
C -1.846837 2.132198 0.494726
H -3.062747 -0.681864 1.679489
H -3.558600 1.821479 1.774000
C -3.328439 2.578944 -4.049666
C -2.718276 3.329173 -2.860547
N -3.476061 3.350105 -1.727732
C -3.131937 4.107925 -0.528749
C -1.882071 3.605736 0.240401
H -4.022616 4.086288 0.128643
H -2.954803 5.170926 -0.800015
H -3.490140 3.335766 -4.846359
O -1.618273 3.897314 -2.942389
H -1.825320 4.179835 1.190601
H -0.979793 3.857812 -0.348261
C 1.154341 -3.114166 -2.228934
N 0.202492 -3.572055 -1.184932
O 3.001551 -1.603611 -2.426269
H 0.575332 -2.895652 -3.149794
C -0.782080 -4.516595 -1.745364
H -1.160684 -4.103560 -2.703868
H -0.316056 -5.500125 -1.970811
C 0.912737 -4.150743 -0.010429
H 1.886217 -3.913216 -2.477798
C -2.013151 -4.720475 -0.869047
O -2.579433 -3.831286 -0.248680
O -2.442060 -5.990694 -0.915201
H -3.283128 -6.049242 -0.403119
H 0.940642 -5.259686 -0.063526
H 1.967184 -3.806616 -0.030207
Engineering artificial organelles
133
Model C: [Cu(N(CH2COO)3)(C11H15N5O)]-
Fig. 56. Calculated spin density of model C. The contour levels are set at 0.0017 and
-0.0017, respectively. Blue represents positive spin density, while red represents
negative spin density.
Model C: Coordinates (in Å)
O 0.926091 -4.315926 2.321426
C 0.558879 -3.679574 1.316592
O 1.263008 -1.006906 -1.041422
C 1.838176 -1.749821 -1.904118
H -4.327253 2.837797 -1.746011
H -4.291118 2.170098 -3.818731
O -0.125606 -2.583357 1.359648
H -1.350400 1.875660 -4.758340
H -2.737551 1.131332 -5.595999
C -2.363172 1.454281 -4.601453
H -0.202956 0.239622 -2.765101
H -0.072479 1.178235 -0.422051
C -1.014227 1.088705 0.129711
C -2.912779 -1.466237 -2.445785
Cu -0.802761 -1.886316 -0.363633
N -1.643377 -1.235327 -2.106224
N -1.492393 -0.146972 0.523713
C -1.216786 -0.160207 -2.865571
C -2.250859 0.278299 -3.679181
N -3.310202 -0.575318 -3.392913
H -4.236075 -0.557271 -3.829340
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134
H -3.551224 -2.241888 -2.009024
C -2.641561 0.075919 1.161082
N -2.914065 1.411203 1.184595
C -1.894395 2.085042 0.524156
H -3.298664 -0.682647 1.601380
H -3.733103 1.834538 1.629047
C -3.287239 2.573842 -4.063300
C -2.682454 3.326981 -2.873982
N -3.439690 3.343427 -1.740875
C -3.090379 4.095822 -0.540404
C -1.872386 3.556720 0.253649
H -3.992548 4.110910 0.101781
H -2.873153 5.149525 -0.817587
H -3.431829 3.325748 -4.867958
O -1.586170 3.902764 -2.954894
H -1.812098 4.140558 1.198383
H -0.950427 3.771309 -0.319655
C 1.117492 -3.082877 -2.274411
N 0.238591 -3.607442 -1.212457
O 2.897574 -1.501980 -2.529977
H 0.490583 -2.869658 -3.165252
C -0.796413 -4.541126 -1.689452
H -1.120777 -4.206244 -2.697008
H -0.393004 -5.573851 -1.796641
C 1.010544 -4.159346 -0.076019
H 1.883745 -3.830852 -2.582332
C -2.091358 -4.602167 -0.821057
O -2.434265 -3.524442 -0.230012
O -2.724058 -5.685285 -0.838941
H 1.015169 -5.271075 -0.095836
H 2.070530 -3.841981 -0.169094
Engineering artificial organelles
135
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9. Acknowledgements
I cordially thank Prof. Dr. Cornelia Palivan for giving me all the
important support and the necessary possibilities to intensively work this
thesis out. I also thank Prof. Wolfgang Meier giving me the possibility to
work on the projects in his group.
I thank Dr. Vimalkumar Balasubramanian for all his efforts during our
collaboration in the group and beyond that. Especially, I appreciate this
power in performing all the important cell experiments and giving me
advice. I also owe Prof. Sabine Van Doorslaer and Dr. Maria Ezhevskaya
a debt of gratitude for successful collaboration on EPR experiments. In
addition, I thank Dr. Ozana Fischer, Patric Baumann, Dr. Karolina
Langowska, and Adrian Nayer for fruitful discussion and suggestions
during all the time of my research at the University of Basel.
Many thank go to Gaby Persy and Vesna Olivieri for TEM
measurements and to Dr. Mariusz Grzelakowski and Dalin Wu for
providing polymers. I want to thank Dr. Dirk de Bruyn for helping me to
synthetise the peptides.
Furthermore, I want to thank all the group members for a very friendly
atmosphere in and outside the Lab. This work is based on the financial
support provided by the Swiss National Science Foundation, and the
National Centre of Competence in Nanoscale Science. This is gratefully
acknowledged. The financial support for a Short Term Scientific Mission
at the University of Antwerp is also honoured.
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10. Abbreviations
% Percent
°C Degree celsius
Å Angstrom
A2 Second virial coefficient
AIDS Acquired immunodeficiency syndrome
ALS Amyotrophic lateral sclerosis
AP Artificial peroxisome
AqpZ Aquaporin Z
Ar Argon
ATP Adenosine triphosphate
BPA Bis(2-pyridylmethyl)amine
CAT Catalase
CLSM Confocal laser-scanning microscopy
Co Cobalt
cpm Counts per molecule
CR Count rate
Cu Copper
Cu/ZnSOD Copper-zinc superoxide dismutase
CW Continuous wave
D Diffusion coefficient
Da Dalton
DFT Discrete Fourier transform
DIEN Diethylenetriamine
DLS Dynamic light scattering
DMSO Dimethyl sulphoxide
DNA Deoxyribonucleic acid
EEV Encapsulation efficiency based on vesicles
EGFP Enhanced green fluorescent protein
EMA European medicines agency
ENDOR Electron nuclear double resonance
EPR Electron paramagnetic resonance
EtOH Ethanol
FCS Fluorescence correlation spectroscopy
FCCS Fluorescence cross correlation spectroscopy
FDA U.S food and drug administration
Fe Iron
G Autocorrelation amplitude
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GSH Gluthatione
GSSG Gluthatione disulphide
HCL Hydrochloric acid
He-Ne Helium-Neon
HPLC High-performance liquid chromatography
HRP Horseradish peroxidase
HYSCORE Hyperfine sub-level correlation
IDA Iminodiacetato
K+ Potassium
K Binding constant
kb Boltzmann constant
kDa kilo Dalton
kHz kilo Hertz
KM Michaelis Menten constant
LPO Lactoperoxidase
M Weight-average molar mass
MBP-FITC Maltose binding protein- fluorescein isothiocyanate
MHz mega Hertz
min Minute
ms Millisecond
mW milli Watt
Ni Nickel
nm Nanometre
NTA Nitrilotriacetic acid
OmpF Outer membrane protein F
OPOE N-Octyl-oligo-oxyethylene
OTf Triflate
P Packing parameter
PBS Phosphate buffered saline
PDI Polydispersity
PEG Polyethylene glycol
pH Potential hydrogen
PL Laser power
PB-b-PEO Poly(butadiene)-b-poly(ethylene oxide)
PMOXA-PDMS-PMOXA poly-(2-methyloxazoline)-poly-(dimethylsiloxane)-poly-(2-
methyloxazoline)
PRX Peroxiredoxin
RFP Red fluorescent protein
Rg Radius of gyration
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RH Hydrodynamic radius
RNA Ribonucleic acid
RNS Reactive nitrogen species
ROS Reactive oxygen species
s Second
SA Succinic anhydride
SEM Scanning electron microscopy
SLS Static light scattering
SOD Superoxide dismutase
STED Stimulated emission depletion
STORM Stochastic optical reconstruction microscopy
T Temperature
TEM Transmission electron microscopy
TFE Trifluoroethanol
TPA Tris(2-pyridylmethyl)amine
TREN Tri(2-aminoethyl)amine
TRX Thioredoxin
Vmax Maximal reaction rate
XA Xanthine
XO Xanthine oxidase
Zn Zinc
λ Wavelength
λem Emission wavelength
λex Excitation wavelength
µg micro gram
µs micro second
τd Diffusion time
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11. Curriculum vitae
Name Pascal Tanner
E-mail [email protected]
Telephone +41 (0) 62 534 14 99
Date of birth 22.05.1984
Nationality Switzerland
Civil status married
Hometown Werthenstein (LU)
Education
2009 – 2013 PhD in the group of Prof. Dr. C. Palivan Department of
Physical-Chemistry, University of Basel
Title: Design and development of protein-polymer
assemblies to engineer artificial organelles
2008 – 2009 Master of Science in Nanosciences in the group of
Prof. W. Meier, Department of Physical-Chemistry,
University of Basel (grade 5.9)
Title: Metal-functionalized polymer vesicles for
molecular recognition
2004 – 2007 Bachelor of Science in Nanosciences
University of Basel (grade 4.7)
1996 – 2003 Matura
Kantonsschule Olten
Work experience
06/2009 – 2013 PhD project (Physical Chemistry Department of the
University of Basel):
- Development and characterisation of
synthetic/biological nanosystems (nanoreactors and
nanocontainers)
- Writing scientific publications (articles, reviews and
book chapter)
- Presentation of results/products at international
conferences and fairs
09/2008 – 04/2009 Master`s thesis (Physical Chemistry Department of the
University of Basel):
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- Development and characterisation of nanosystems for
molecular recognition
- Short-term scientific foreign missions
01/2008 – 03/2008 Project work (Biocentre of the University of Basel):
- Structural research of subunits in F1FO ATP- synthase
- Protein cloning and expression in E. coli.
03/2004 – 09/2007 Project works (Biocentre of the University of Basel
and at PSI):
- AFM study of damaged cartilage for early diagnosis
- AFM study of effects on fracture and erosion of
Si/SiO2-Nanotowers
09/2003 – 02/2004 Employee (SBB in Olten) 100%:
- logistics
- inventory taking.
Language skills
English fluent
German first language
French basic
Social competences
My very efficient way of working, reliability and my open communication skills
allowed me to represent our group at international conferences and fairs.
Technical skills
Development and characterisation of nanosystems (nanoreactors or
nanocontainers) for antioxidant therapy or drug delivery:
- Production/Engineering of biological/synthetic formulations
- Microscopy and molecular imaging techniques (AFM, STM, optical
microscopy, CLSM, TEM)
- Spectroscopy techniques (UV/VIS, IR, EPR, NMR, FCS, FCCS, DLS, SLS)
- Protein/enzyme labelling and characterisation
- basic handling of cell cultures
- Purification techniques (dialysis, size-exclusion and fast protein liquid
chromatography)
Presentation and writing skills:
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- Presentation of results/concepts at international conferences and fairs
- Writing scientific publications
- Broadcasting of knowledge (introduction of practicum experiments/devices to
students)
EDV:
- Microsoft Word, Excel, PowerPoint, EndNote, Origin, Corel
Leisure time activities
Successful participation at national and international MTB Cross-
Country and Marathon events
Team competitions: Stage race Craft Bike Transalp and 24h Race Davos
Oral presentations
Nanoevent NextNanoStar, Basel, Switzerland, 21.03.2013
243rd
ACS National Meeting, San Diego, CA, USA, 25.3.2012 -
29.3.2012
Swiss Soft Days 3. WORKSHOP, Department of Chemistry, University
of Fribourg, Switzerland, 20.10.2010
Poster presentations
1.) Swiss Soft Days 8. WORKSHOP, Geneve, Switzerland, 1.6.2012, Title:
Specific His6-tag attachement to metal-functionalized polymersomes relies
on molecular recognition, Pascal Tanner, Maria Ezhevskaya, Rainer
Nehring, Sabine Van Doorslaer, Wolfgang Meier, Cornelia Palivan.
2.) Hannover Messe, Hannover, Deutschland, 23.4.2012 - 27.4.2012, Title:
Multifunctional nanoscale containers for enzymes: A simple tool to detect
and defeat harmful radicals, Pascal Tanner, Cornelia G. Palivan, Wolfgang
Meier.
3.) 243rd
ACS National Meeting, San Diego, CA, USA, 25.3.2012-29.3.2012,
Title: Enzyme cascade reactions inside polymer vesicles to fight oxidative
stress, Pascal Tanner, Vimalkumar Balasubramanian, Ozana Onaca,
Wolfgang Meier, Cornelia G. Palivan.
4.) NanoBioEurope, WORKSHOP, Cork, Ireland, 21.6.2011-23.6.2011, Title:
How to fight oxidative stress with enzymes acting in tandem inside polymer
vesicles? Pascal Tanner, Vimal Balasubramanian, Ozana Onaca, Cornelia
G. Palivan.
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5.) Swiss Soft Days 4. WORKSHOP, Nestlé Research Center, Lausanne,
Switzerland, 3.2.2011, Title: Efficient antioxidant therapeutics:
nanoreactors containing enzymes/ mimics at cellular level, Pascal Tanner,
Ozana Onaca, Vimalkumar Balasubramanian, Cornelia G. Palivan.
6.) Fall Meeting of the Swiss Chemical Society 2010, ETH Zürich, Zürich,
Switzerland, 16.9.2010, Title: Metal-NTA-functionalized vesicles for
molecular recognition, Pascal Tanner, Rainer Nehring, Cornelia G.
Palivan, Wolfgang Meier.
7.) Swiss Soft Days 2. WORKSHOP, Ecole Polytechnique de Lausanne,
Lausanne, Switzerland, 23.6.2010, Title: How membrane proteins act as
gates for POLYMERC nanocontainers, Pascal Tanner, Ozana Onaca,
Patric Baumann, Cornelia G. Palivan.
8.) FUNctional Multiscale ARCHitectures Workshop, National Research
Council, Bologna, Italy, 5.5.2010 - 7.5.2010, Title: Metal-NTA-
functionalized vesicles for molecular recognition, Pascal Tanner, Rainer
Nehring, Cornelia G. Palivan, Wolfgang Meier.
9.) Fall Meeting of the Swiss Chemical Society 2009, Ecole Polytechnique
Fédérale de Lausanne, Switzerland, 4.9.2009, Title: Optimisation of Ni-
NTA-functionalized vesicles for molecular recognition in solution, Pascal
Tanner, Rainer Nehring, Cornelia G. Palivan, Wolfgang Meier.
10.) NCCR SNI Swiss Nano Basel, University of Basel, Switzerland, 11.6.2009,
Title: Nickel-NTA-functionalized vesicles for molecular recognition,
Pascal Tanner, Rainer Nehring, Cornelia G. Palivan, Wolfgang Meier.
Summer school
Summer School Essen, Germany, 22.09.2009-25.09.2009, Computational
Chemistry and Spectroscopy
Awards
- STSM grant from COST P15 action
- SCNAT/SCS Swiss Travel Award
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Publications
1.) Tanner, P.; Balasubramanian, V.; Palivan, C. G. Aiding Nature’s
Organelles: Artificial Peroxisomes Play Their Role. Nano Letters, 2013,
DOI: 10.1021/nl401215n
2.) Itel, F.; Dinu, A.; Tanner, P.; Fischer, O.; Palivan, G. C. Nanoreactors for
biomedical applications, submitted.
3.) Heinisch, T.; Langowska, K.; Tanner, P.; Reymond, J.L. ; Palivan, C.;
Meier, W.; Ward, T. Fluoreswcence-based assay for the optimization of
artificial transfer hydrogenase activity within a biocompatible compartment
ChemCatChem., 2013, DOI: 10.1002/cctc.201200834
4.) Dobrunz, D.; Toma, A.;Tanner, P.; Pfohl, T.; Palivan C. Polymer
nanoreactors with a dual-functionality: simultaneous detoxification of
peroxynitrites and transport of oxygen Langmuir, 2012, DOI:
10.1021/la302724m
5.) Tanner, P.; Ezhevskaya, M.; Nehring, R.; Van Doorslaer, S.; Meier, W. P.;
Palivan, C. G., Specific His6-tag Attachment to Metal-Functionalized
Polymersomes Relies on Molecular Recognition. The Journal of Physical
Chemistry B 2012, 116, 10113-24.
6.) Zhang, X.; Tanner, P.; Graff, A.; Palivan, C.; Meier, W., Mimicking the
Cell Membrane with Block Copolymer Membranes. Journal of Polymer
Science, Part A: Polymer Chemistry 2012, 50, 2293-2318.
7.) Tanner, P.; Egli, S.; Balasubramanian, V.; Onaca, O.; Palivan, C. G.; Meier,
W., Can Polymeric Vesicles that Confine Enzymatic Reactions act as
Simplified Organelles? FEBS Letters 2011, 585, 1699-1706.
8.) Tanner, P.; Onaca, O.; Balasubramanian, V.; Meier, W.; Palivan, C. G.:
Enzymatic Cascade Reactions inside Polymeric Nanocontainers: A Means
to Combat Oxidative Stress. Chemistry – A European Journal 2011, 17,
4552-4560.
9.) Tanner, P.; Baumann, P.; Enea, R.; Onaca, O.; Palivan, C. G.; Meier, W.:
Polymeric Vesicles: from Drug Carriers to Nanoreactors and Artificial
Organelles Accounts of Chemical Research 2011, 44, 1039-1049.
10.) Baumann, P.; Tanner, P.; Onaca, O.; Palivan, C.G. Bio-Decorated Polymer
Membranes: A New Approach in Diagnostics and
Therapeutics. Polymers 2011, 3, 173-192.
11.) Nehring, R.; Palivan, C. G.; Moreno-Flores, S.; Mantion, A.; Tanner, P.;
Toca-Herrera, J. L.; Thuenemann, A.; Meier, W.: Protein Decorated
Membranes by Specific Molecular Interactions. Soft Matter 2010, 6, 2815-
2824.
12.) Nehring, R.; Palivan, C. G.; Casse, O.; Tanner, P.; Tuxen, J.; Meier, W.:
Amphiphilic Diblock Copolymers for Molecular Recognition: Metal-
Nitrilotriacetic Acid Functionalized Vesicles. Langmuir 2008, 25, 1122-
1130.
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References
1. Prof. Dr. Cornelia G. Palivan
Department of Chemistry, University of Basel, Switzerland
Email: [email protected]
Phone: 061 267 38 39
2. Prof. Dr. Wolfgang Meier
Department of Chemistry, University of Basel, Switzerland
Email: [email protected]
Phone: 061 267 38 02